Overview

Dataset statistics

Number of variables481
Number of observations95412
Missing cells8762884
Missing cells (%)19.1%
Total size in memory350.1 MiB
Average record size in memory3.8 KiB

Variable types

Numeric413
Categorical67
Unsupported1

Alerts

MAILCODE has constant value "B" Constant
RECINHSE has constant value "X" Constant
RECP3 has constant value "X" Constant
RECPGVG has constant value "X" Constant
RECSWEEP has constant value "X" Constant
MAJOR has constant value "X" Constant
COLLECT1 has constant value "Y" Constant
VETERANS has constant value "Y" Constant
BIBLE has constant value "Y" Constant
CATLG has constant value "Y" Constant
HOMEE has constant value "Y" Constant
PETS has constant value "Y" Constant
CDPLAY has constant value "Y" Constant
STEREO has constant value "Y" Constant
PCOWNERS has constant value "Y" Constant
PHOTO has constant value "Y" Constant
CRAFTS has constant value "Y" Constant
FISHER has constant value "Y" Constant
GARDENIN has constant value "Y" Constant
BOATS has constant value "Y" Constant
WALKER has constant value "Y" Constant
KIDSTUFF has constant value "Y" Constant
CARDS has constant value "Y" Constant
PLATES has constant value "Y" Constant
PEPSTRFL has constant value "X" Constant
ADATE_5 has constant value "9604.0" Constant
ADATE_15 has constant value "9504.0" Constant
RFA_2R has constant value "L" Constant
OSOURCE has a high cardinality: 895 distinct values High cardinality
STATE has a high cardinality: 57 distinct values High cardinality
ZIP has a high cardinality: 19938 distinct values High cardinality
RFA_3 has a high cardinality: 70 distinct values High cardinality
RFA_4 has a high cardinality: 63 distinct values High cardinality
RFA_6 has a high cardinality: 108 distinct values High cardinality
RFA_7 has a high cardinality: 105 distinct values High cardinality
RFA_8 has a high cardinality: 108 distinct values High cardinality
RFA_9 has a high cardinality: 106 distinct values High cardinality
RFA_10 has a high cardinality: 93 distinct values High cardinality
RFA_11 has a high cardinality: 100 distinct values High cardinality
RFA_12 has a high cardinality: 106 distinct values High cardinality
RFA_13 has a high cardinality: 86 distinct values High cardinality
RFA_14 has a high cardinality: 94 distinct values High cardinality
RFA_16 has a high cardinality: 122 distinct values High cardinality
RFA_17 has a high cardinality: 117 distinct values High cardinality
RFA_18 has a high cardinality: 121 distinct values High cardinality
RFA_19 has a high cardinality: 107 distinct values High cardinality
RFA_20 has a high cardinality: 79 distinct values High cardinality
RFA_21 has a high cardinality: 101 distinct values High cardinality
RFA_22 has a high cardinality: 116 distinct values High cardinality
RFA_23 has a high cardinality: 86 distinct values High cardinality
RFA_24 has a high cardinality: 96 distinct values High cardinality
MAILCODE has 94013 (98.5%) missing values Missing
PVASTATE has 93954 (98.5%) missing values Missing
RECINHSE has 88709 (93.0%) missing values Missing
RECP3 has 93395 (97.9%) missing values Missing
RECPGVG has 95298 (99.9%) missing values Missing
RECSWEEP has 93795 (98.3%) missing values Missing
DOMAIN has 2316 (2.4%) missing values Missing
CLUSTER has 2316 (2.4%) missing values Missing
AGE has 23665 (24.8%) missing values Missing
AGEFLAG has 29548 (31.0%) missing values Missing
HOMEOWNR has 22228 (23.3%) missing values Missing
CHILD03 has 94266 (98.8%) missing values Missing
CHILD07 has 93846 (98.4%) missing values Missing
CHILD12 has 93601 (98.1%) missing values Missing
CHILD18 has 92565 (97.0%) missing values Missing
NUMCHLD has 83026 (87.0%) missing values Missing
INCOME has 21286 (22.3%) missing values Missing
GENDER has 2957 (3.1%) missing values Missing
WEALTH1 has 44732 (46.9%) missing values Missing
MBCRAFT has 52854 (55.4%) missing values Missing
MBGARDEN has 52854 (55.4%) missing values Missing
MBBOOKS has 52854 (55.4%) missing values Missing
MBCOLECT has 52914 (55.5%) missing values Missing
MAGFAML has 52854 (55.4%) missing values Missing
MAGFEM has 52854 (55.4%) missing values Missing
MAGMALE has 52854 (55.4%) missing values Missing
PUBGARDN has 52854 (55.4%) missing values Missing
PUBCULIN has 52854 (55.4%) missing values Missing
PUBHLTH has 52854 (55.4%) missing values Missing
PUBDOITY has 52854 (55.4%) missing values Missing
PUBNEWFN has 52854 (55.4%) missing values Missing
PUBPHOTO has 52854 (55.4%) missing values Missing
PUBOPP has 52854 (55.4%) missing values Missing
DATASRCE has 21280 (22.3%) missing values Missing
SOLP3 has 95232 (99.8%) missing values Missing
SOLIH has 89212 (93.5%) missing values Missing
MAJOR has 95118 (99.7%) missing values Missing
WEALTH2 has 43823 (45.9%) missing values Missing
GEOCODE has 80168 (84.0%) missing values Missing
COLLECT1 has 90210 (94.5%) missing values Missing
VETERANS has 84986 (89.1%) missing values Missing
BIBLE has 86541 (90.7%) missing values Missing
CATLG has 87547 (91.8%) missing values Missing
HOMEE has 94525 (99.1%) missing values Missing
PETS has 81086 (85.0%) missing values Missing
CDPLAY has 83158 (87.2%) missing values Missing
STEREO has 82618 (86.6%) missing values Missing
PCOWNERS has 84931 (89.0%) missing values Missing
PHOTO has 90626 (95.0%) missing values Missing
CRAFTS has 87236 (91.4%) missing values Missing
FISHER has 88282 (92.5%) missing values Missing
GARDENIN has 82010 (86.0%) missing values Missing
BOATS has 93384 (97.9%) missing values Missing
WALKER has 84911 (89.0%) missing values Missing
KIDSTUFF has 93876 (98.4%) missing values Missing
CARDS has 94371 (98.9%) missing values Missing
PLATES has 94852 (99.4%) missing values Missing
LIFESRC has 54032 (56.6%) missing values Missing
PEPSTRFL has 50143 (52.6%) missing values Missing
ADATE_3 has 1950 (2.0%) missing values Missing
ADATE_4 has 2191 (2.3%) missing values Missing
ADATE_5 has 33590 (35.2%) missing values Missing
ADATE_6 has 3557 (3.7%) missing values Missing
ADATE_7 has 8874 (9.3%) missing values Missing
ADATE_8 has 3511 (3.7%) missing values Missing
ADATE_9 has 11245 (11.8%) missing values Missing
ADATE_10 has 32748 (34.3%) missing values Missing
ADATE_11 has 10422 (10.9%) missing values Missing
ADATE_12 has 8923 (9.4%) missing values Missing
ADATE_13 has 40219 (42.2%) missing values Missing
ADATE_14 has 18867 (19.8%) missing values Missing
ADATE_15 has 65477 (68.6%) missing values Missing
ADATE_16 has 20364 (21.3%) missing values Missing
ADATE_17 has 27650 (29.0%) missing values Missing
ADATE_18 has 21263 (22.3%) missing values Missing
ADATE_19 has 24480 (25.7%) missing values Missing
ADATE_20 has 50200 (52.6%) missing values Missing
ADATE_21 has 35212 (36.9%) missing values Missing
ADATE_22 has 25648 (26.9%) missing values Missing
ADATE_23 has 56270 (59.0%) missing values Missing
ADATE_24 has 36973 (38.8%) missing values Missing
RFA_3 has 1950 (2.0%) missing values Missing
RFA_4 has 2312 (2.4%) missing values Missing
RFA_5 has 33590 (35.2%) missing values Missing
RFA_6 has 3557 (3.7%) missing values Missing
RFA_7 has 8874 (9.3%) missing values Missing
RFA_8 has 3511 (3.7%) missing values Missing
RFA_9 has 11245 (11.8%) missing values Missing
RFA_10 has 32748 (34.3%) missing values Missing
RFA_11 has 10422 (10.9%) missing values Missing
RFA_12 has 8923 (9.4%) missing values Missing
RFA_13 has 40219 (42.2%) missing values Missing
RFA_14 has 18867 (19.8%) missing values Missing
RFA_15 has 65477 (68.6%) missing values Missing
RFA_16 has 20417 (21.4%) missing values Missing
RFA_17 has 27650 (29.0%) missing values Missing
RFA_18 has 21263 (22.3%) missing values Missing
RFA_19 has 24492 (25.7%) missing values Missing
RFA_20 has 50200 (52.6%) missing values Missing
RFA_21 has 35212 (36.9%) missing values Missing
RFA_22 has 25648 (26.9%) missing values Missing
RFA_23 has 56274 (59.0%) missing values Missing
RFA_24 has 36973 (38.8%) missing values Missing
RDATE_3 has 95170 (99.7%) missing values Missing
RDATE_4 has 95131 (99.7%) missing values Missing
RDATE_5 has 95403 (> 99.9%) missing values Missing
RDATE_6 has 94636 (99.2%) missing values Missing
RDATE_7 has 86517 (90.7%) missing values Missing
RDATE_8 has 73940 (77.5%) missing values Missing
RDATE_9 has 78678 (82.5%) missing values Missing
RDATE_10 has 84951 (89.0%) missing values Missing
RDATE_11 has 80672 (84.6%) missing values Missing
RDATE_12 has 69712 (73.1%) missing values Missing
RDATE_13 has 83162 (87.2%) missing values Missing
RDATE_14 has 72095 (75.6%) missing values Missing
RDATE_15 has 88150 (92.4%) missing values Missing
RDATE_16 has 68418 (71.7%) missing values Missing
RDATE_17 has 86011 (90.1%) missing values Missing
RDATE_18 has 75634 (79.3%) missing values Missing
RDATE_19 has 79535 (83.4%) missing values Missing
RDATE_20 has 87524 (91.7%) missing values Missing
RDATE_21 has 85899 (90.0%) missing values Missing
RDATE_22 has 74539 (78.1%) missing values Missing
RDATE_23 has 87553 (91.8%) missing values Missing
RDATE_24 has 77674 (81.4%) missing values Missing
RAMNT_3 has 95170 (99.7%) missing values Missing
RAMNT_4 has 95131 (99.7%) missing values Missing
RAMNT_5 has 95403 (> 99.9%) missing values Missing
RAMNT_6 has 94636 (99.2%) missing values Missing
RAMNT_7 has 86517 (90.7%) missing values Missing
RAMNT_8 has 73940 (77.5%) missing values Missing
RAMNT_9 has 78678 (82.5%) missing values Missing
RAMNT_10 has 84951 (89.0%) missing values Missing
RAMNT_11 has 80672 (84.6%) missing values Missing
RAMNT_12 has 69712 (73.1%) missing values Missing
RAMNT_13 has 83162 (87.2%) missing values Missing
RAMNT_14 has 72095 (75.6%) missing values Missing
RAMNT_15 has 88150 (92.4%) missing values Missing
RAMNT_16 has 68418 (71.7%) missing values Missing
RAMNT_17 has 86011 (90.1%) missing values Missing
RAMNT_18 has 75634 (79.3%) missing values Missing
RAMNT_19 has 79535 (83.4%) missing values Missing
RAMNT_20 has 87524 (91.7%) missing values Missing
RAMNT_21 has 85899 (90.0%) missing values Missing
RAMNT_22 has 74539 (78.1%) missing values Missing
RAMNT_23 has 87553 (91.8%) missing values Missing
RAMNT_24 has 77674 (81.4%) missing values Missing
NEXTDATE has 9973 (10.5%) missing values Missing
TIMELAG has 9973 (10.5%) missing values Missing
TCODE is highly skewed (γ1 = 34.21050883) Skewed
ETH12 is highly skewed (γ1 = 30.65627538) Skewed
TPE6 is highly skewed (γ1 = 23.02196117) Skewed
AFC3 is highly skewed (γ1 = 26.24751506) Skewed
HC15 is highly skewed (γ1 = 24.18696945) Skewed
ADATE_2 is highly skewed (γ1 = -85.65404505) Skewed
ADATE_3 is highly skewed (γ1 = -72.03818502) Skewed
ADATE_4 is highly skewed (γ1 = -86.88726935) Skewed
ADATE_6 is highly skewed (γ1 = -42.40445394) Skewed
ADATE_7 is highly skewed (γ1 = -26.60879245) Skewed
ADATE_14 is highly skewed (γ1 = -21.53504418) Skewed
ADATE_20 is highly skewed (γ1 = 56.80354725) Skewed
ADATE_23 is highly skewed (γ1 = -42.0700119) Skewed
RDATE_7 is highly skewed (γ1 = -68.14664712) Skewed
RAMNT_9 is highly skewed (γ1 = 30.37061203) Skewed
RAMNT_18 is highly skewed (γ1 = 33.05906207) Skewed
RAMNT_19 is highly skewed (γ1 = 32.09841809) Skewed
MINRAMNT is highly skewed (γ1 = 23.84991926) Skewed
MAXRAMNT is highly skewed (γ1 = 99.78376176) Skewed
TIMELAG is highly skewed (γ1 = 52.6241642) Skewed
AVGGIFT is highly skewed (γ1 = 26.0494288) Skewed
CONTROLN has unique values Unique
NOEXCH is an unsupported type, check if it needs cleaning or further analysis Unsupported
TCODE has 40917 (42.9%) zeros Zeros
DOB has 23661 (24.8%) zeros Zeros
WEALTH1 has 2413 (2.5%) zeros Zeros
HIT has 55672 (58.3%) zeros Zeros
MBCRAFT has 37707 (39.5%) zeros Zeros
MBGARDEN has 40286 (42.2%) zeros Zeros
MBBOOKS has 21299 (22.3%) zeros Zeros
MBCOLECT has 40267 (42.2%) zeros Zeros
MAGFAML has 29790 (31.2%) zeros Zeros
MAGFEM has 37845 (39.7%) zeros Zeros
MAGMALE has 40036 (42.0%) zeros Zeros
PUBGARDN has 38388 (40.2%) zeros Zeros
PUBCULIN has 37428 (39.2%) zeros Zeros
PUBHLTH has 27309 (28.6%) zeros Zeros
PUBDOITY has 36485 (38.2%) zeros Zeros
PUBNEWFN has 33885 (35.5%) zeros Zeros
PUBPHOTO has 42313 (44.3%) zeros Zeros
PUBOPP has 37237 (39.0%) zeros Zeros
MALEMILI has 73998 (77.6%) zeros Zeros
MALEVET has 3318 (3.5%) zeros Zeros
VIETVETS has 5502 (5.8%) zeros Zeros
WWIIVETS has 5264 (5.5%) zeros Zeros
LOCALGOV has 6140 (6.4%) zeros Zeros
STATEGOV has 14317 (15.0%) zeros Zeros
FEDGOV has 20613 (21.6%) zeros Zeros
WEALTH2 has 3277 (3.4%) zeros Zeros
POP90C1 has 35415 (37.1%) zeros Zeros
POP90C2 has 76382 (80.1%) zeros Zeros
POP90C3 has 56461 (59.2%) zeros Zeros
ETH1 has 1075 (1.1%) zeros Zeros
ETH2 has 31240 (32.7%) zeros Zeros
ETH3 has 62275 (65.3%) zeros Zeros
ETH4 has 37177 (39.0%) zeros Zeros
ETH5 has 15803 (16.6%) zeros Zeros
ETH6 has 80799 (84.7%) zeros Zeros
ETH7 has 78849 (82.6%) zeros Zeros
ETH8 has 74176 (77.7%) zeros Zeros
ETH9 has 75931 (79.6%) zeros Zeros
ETH10 has 81878 (85.8%) zeros Zeros
ETH11 has 85105 (89.2%) zeros Zeros
ETH12 has 94160 (98.7%) zeros Zeros
ETH13 has 34032 (35.7%) zeros Zeros
ETH14 has 79619 (83.4%) zeros Zeros
ETH15 has 87781 (92.0%) zeros Zeros
ETH16 has 42870 (44.9%) zeros Zeros
AGE907 has 1257 (1.3%) zeros Zeros
CHIL1 has 1149 (1.2%) zeros Zeros
CHIL2 has 1189 (1.2%) zeros Zeros
CHIL3 has 1156 (1.2%) zeros Zeros
AGEC1 has 1161 (1.2%) zeros Zeros
AGEC2 has 1007 (1.1%) zeros Zeros
AGEC5 has 968 (1.0%) zeros Zeros
AGEC6 has 1061 (1.1%) zeros Zeros
AGEC7 has 1745 (1.8%) zeros Zeros
CHILC1 has 1268 (1.3%) zeros Zeros
CHILC2 has 1322 (1.4%) zeros Zeros
CHILC3 has 1225 (1.3%) zeros Zeros
CHILC4 has 1317 (1.4%) zeros Zeros
CHILC5 has 1075 (1.1%) zeros Zeros
HHAGE2 has 2063 (2.2%) zeros Zeros
HHAGE3 has 1031 (1.1%) zeros Zeros
HHN4 has 1365 (1.4%) zeros Zeros
HHN5 has 2069 (2.2%) zeros Zeros
HHN6 has 5095 (5.3%) zeros Zeros
MARR3 has 1071 (1.1%) zeros Zeros
DW1 has 1169 (1.2%) zeros Zeros
DW2 has 1558 (1.6%) zeros Zeros
DW3 has 35949 (37.7%) zeros Zeros
DW4 has 16326 (17.1%) zeros Zeros
DW5 has 24860 (26.1%) zeros Zeros
DW6 has 34134 (35.8%) zeros Zeros
DW7 has 66889 (70.1%) zeros Zeros
DW8 has 74846 (78.4%) zeros Zeros
DW9 has 83535 (87.6%) zeros Zeros
HV1 has 1117 (1.2%) zeros Zeros
HV2 has 1117 (1.2%) zeros Zeros
HV4 has 1229 (1.3%) zeros Zeros
HU1 has 1073 (1.1%) zeros Zeros
HU4 has 1552 (1.6%) zeros Zeros
HU5 has 29653 (31.1%) zeros Zeros
HHD1 has 1277 (1.3%) zeros Zeros
HHD4 has 1376 (1.4%) zeros Zeros
HHD7 has 1694 (1.8%) zeros Zeros
HHD8 has 10080 (10.6%) zeros Zeros
HHD9 has 1995 (2.1%) zeros Zeros
HHD12 has 1776 (1.9%) zeros Zeros
ETHC1 has 2544 (2.7%) zeros Zeros
ETHC2 has 1306 (1.4%) zeros Zeros
ETHC3 has 1781 (1.9%) zeros Zeros
ETHC4 has 54820 (57.5%) zeros Zeros
ETHC5 has 38227 (40.1%) zeros Zeros
ETHC6 has 75085 (78.7%) zeros Zeros
HVP1 has 40051 (42.0%) zeros Zeros
HVP2 has 24097 (25.3%) zeros Zeros
HVP3 has 8692 (9.1%) zeros Zeros
HVP4 has 2955 (3.1%) zeros Zeros
HVP5 has 1295 (1.4%) zeros Zeros
HVP6 has 61118 (64.1%) zeros Zeros
HUR1 has 17095 (17.9%) zeros Zeros
HUPA1 has 17899 (18.8%) zeros Zeros
HUPA2 has 44554 (46.7%) zeros Zeros
HUPA3 has 48359 (50.7%) zeros Zeros
HUPA4 has 2067 (2.2%) zeros Zeros
HUPA5 has 25513 (26.7%) zeros Zeros
HUPA6 has 36538 (38.3%) zeros Zeros
HUPA7 has 55704 (58.4%) zeros Zeros
RP1 has 16042 (16.8%) zeros Zeros
RP2 has 6483 (6.8%) zeros Zeros
RP3 has 1723 (1.8%) zeros Zeros
RP4 has 963 (1.0%) zeros Zeros
MSA has 21333 (22.4%) zeros Zeros
IC6 has 2177 (2.3%) zeros Zeros
IC7 has 1858 (1.9%) zeros Zeros
IC8 has 1582 (1.7%) zeros Zeros
IC9 has 1424 (1.5%) zeros Zeros
IC10 has 2525 (2.6%) zeros Zeros
IC11 has 14562 (15.3%) zeros Zeros
IC12 has 38694 (40.6%) zeros Zeros
IC13 has 61424 (64.4%) zeros Zeros
IC14 has 52170 (54.7%) zeros Zeros
IC15 has 5579 (5.8%) zeros Zeros
IC16 has 3304 (3.5%) zeros Zeros
IC17 has 2444 (2.6%) zeros Zeros
IC18 has 1912 (2.0%) zeros Zeros
IC19 has 3175 (3.3%) zeros Zeros
IC20 has 16124 (16.9%) zeros Zeros
IC21 has 39568 (41.5%) zeros Zeros
IC22 has 61356 (64.3%) zeros Zeros
IC23 has 52706 (55.2%) zeros Zeros
HHAS1 has 1179 (1.2%) zeros Zeros
HHAS2 has 10154 (10.6%) zeros Zeros
HHAS3 has 1041 (1.1%) zeros Zeros
HHAS4 has 4357 (4.6%) zeros Zeros
MC3 has 2815 (3.0%) zeros Zeros
TPE2 has 2320 (2.4%) zeros Zeros
TPE3 has 50524 (53.0%) zeros Zeros
TPE4 has 56252 (59.0%) zeros Zeros
TPE5 has 87266 (91.5%) zeros Zeros
TPE6 has 90483 (94.8%) zeros Zeros
TPE7 has 80140 (84.0%) zeros Zeros
TPE8 has 15711 (16.5%) zeros Zeros
TPE9 has 16912 (17.7%) zeros Zeros
PEC1 has 44833 (47.0%) zeros Zeros
PEC2 has 7250 (7.6%) zeros Zeros
TPE12 has 11550 (12.1%) zeros Zeros
LFC6 has 1937 (2.0%) zeros Zeros
LFC7 has 2525 (2.6%) zeros Zeros
LFC8 has 9313 (9.8%) zeros Zeros
LFC9 has 30500 (32.0%) zeros Zeros
LFC10 has 28122 (29.5%) zeros Zeros
OCC1 has 2169 (2.3%) zeros Zeros
OCC2 has 2372 (2.5%) zeros Zeros
OCC3 has 10097 (10.6%) zeros Zeros
OCC4 has 1789 (1.9%) zeros Zeros
OCC5 has 1401 (1.5%) zeros Zeros
OCC6 has 70424 (73.8%) zeros Zeros
OCC7 has 28233 (29.6%) zeros Zeros
OCC8 has 2218 (2.3%) zeros Zeros
OCC9 has 34279 (35.9%) zeros Zeros
OCC10 has 2634 (2.8%) zeros Zeros
OCC11 has 9888 (10.4%) zeros Zeros
OCC12 has 12087 (12.7%) zeros Zeros
OCC13 has 11776 (12.3%) zeros Zeros
EIC1 has 30576 (32.0%) zeros Zeros
EIC2 has 74066 (77.6%) zeros Zeros
EIC3 has 5154 (5.4%) zeros Zeros
EIC4 has 2055 (2.2%) zeros Zeros
EIC5 has 8729 (9.1%) zeros Zeros
EIC6 has 15463 (16.2%) zeros Zeros
EIC7 has 8628 (9.0%) zeros Zeros
EIC8 has 1338 (1.4%) zeros Zeros
EIC9 has 4980 (5.2%) zeros Zeros
EIC10 has 6277 (6.6%) zeros Zeros
EIC11 has 11713 (12.3%) zeros Zeros
EIC12 has 33308 (34.9%) zeros Zeros
EIC13 has 2943 (3.1%) zeros Zeros
EIC14 has 3644 (3.8%) zeros Zeros
EIC15 has 4411 (4.6%) zeros Zeros
EIC16 has 9008 (9.4%) zeros Zeros
OEDC1 has 3860 (4.0%) zeros Zeros
OEDC2 has 11983 (12.6%) zeros Zeros
OEDC3 has 18627 (19.5%) zeros Zeros
OEDC4 has 3947 (4.1%) zeros Zeros
OEDC6 has 4834 (5.1%) zeros Zeros
OEDC7 has 65047 (68.2%) zeros Zeros
EC2 has 6218 (6.5%) zeros Zeros
EC3 has 1879 (2.0%) zeros Zeros
EC4 has 955 (1.0%) zeros Zeros
EC5 has 970 (1.0%) zeros Zeros
EC6 has 2637 (2.8%) zeros Zeros
EC7 has 2138 (2.2%) zeros Zeros
EC8 has 5922 (6.2%) zeros Zeros
SEC1 has 8942 (9.4%) zeros Zeros
SEC2 has 1087 (1.1%) zeros Zeros
SEC3 has 13144 (13.8%) zeros Zeros
SEC4 has 1623 (1.7%) zeros Zeros
SEC5 has 1889 (2.0%) zeros Zeros
AFC1 has 78106 (81.9%) zeros Zeros
AFC2 has 73368 (76.9%) zeros Zeros
AFC3 has 89749 (94.1%) zeros Zeros
AFC4 has 962 (1.0%) zeros Zeros
AFC5 has 965 (1.0%) zeros Zeros
AFC6 has 38104 (39.9%) zeros Zeros
VC1 has 3150 (3.3%) zeros Zeros
VC2 has 6030 (6.3%) zeros Zeros
VC3 has 2912 (3.1%) zeros Zeros
VC4 has 16207 (17.0%) zeros Zeros
ANC1 has 56027 (58.7%) zeros Zeros
ANC2 has 7156 (7.5%) zeros Zeros
ANC3 has 43506 (45.6%) zeros Zeros
ANC4 has 3969 (4.2%) zeros Zeros
ANC5 has 83321 (87.3%) zeros Zeros
ANC6 has 82367 (86.3%) zeros Zeros
ANC7 has 5819 (6.1%) zeros Zeros
ANC8 has 32602 (34.2%) zeros Zeros
ANC9 has 63082 (66.1%) zeros Zeros
ANC10 has 46980 (49.2%) zeros Zeros
ANC11 has 86841 (91.0%) zeros Zeros
ANC12 has 78328 (82.1%) zeros Zeros
ANC13 has 47175 (49.4%) zeros Zeros
ANC14 has 54380 (57.0%) zeros Zeros
ANC15 has 89549 (93.9%) zeros Zeros
POBC1 has 16115 (16.9%) zeros Zeros
POBC2 has 1038 (1.1%) zeros Zeros
LSC2 has 19000 (19.9%) zeros Zeros
LSC3 has 57072 (59.8%) zeros Zeros
LSC4 has 13470 (14.1%) zeros Zeros
VOC2 has 983 (1.0%) zeros Zeros
VOC3 has 2161 (2.3%) zeros Zeros
HC1 has 970 (1.0%) zeros Zeros
HC3 has 49919 (52.3%) zeros Zeros
HC4 has 26755 (28.0%) zeros Zeros
HC5 has 18117 (19.0%) zeros Zeros
HC6 has 8767 (9.2%) zeros Zeros
HC7 has 4089 (4.3%) zeros Zeros
HC8 has 10198 (10.7%) zeros Zeros
HC9 has 69834 (73.2%) zeros Zeros
HC10 has 69372 (72.7%) zeros Zeros
HC11 has 9588 (10.0%) zeros Zeros
HC12 has 35875 (37.6%) zeros Zeros
HC13 has 5739 (6.0%) zeros Zeros
HC14 has 52292 (54.8%) zeros Zeros
HC15 has 91426 (95.8%) zeros Zeros
HC16 has 42397 (44.4%) zeros Zeros
HC17 has 2599 (2.7%) zeros Zeros
HC18 has 46610 (48.9%) zeros Zeros
HC19 has 3540 (3.7%) zeros Zeros
MHUC1 has 2380 (2.5%) zeros Zeros
MHUC2 has 3667 (3.8%) zeros Zeros
AC1 has 2497 (2.6%) zeros Zeros
AC2 has 2602 (2.7%) zeros Zeros
CARDGIFT has 4968 (5.2%) zeros Zeros
TARGET_B has 90569 (94.9%) zeros Zeros
TARGET_D has 90569 (94.9%) zeros Zeros
HPHONE_D has 47647 (49.9%) zeros Zeros

Reproduction

Analysis started2022-11-23 01:49:23.178340
Analysis finished2022-11-23 01:49:27.337651
Duration4.16 seconds
Software versionpandas-profiling v3.4.0
Download configurationconfig.json

Variables

ODATEDW
Real number (ℝ≥0)

Distinct54
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean9141.363256
Minimum8306
Maximum9701
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size745.5 KiB
2022-11-23T02:49:27.419825image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

Quantile statistics

Minimum8306
5-th percentile8601
Q18801
median9201
Q39501
95-th percentile9601
Maximum9701
Range1395
Interquartile range (IQR)700

Descriptive statistics

Standard deviation343.4547524
Coefficient of variation (CV)0.03757150249
Kurtosis-1.302112538
Mean9141.363256
Median Absolute Deviation (MAD)300
Skewness-0.2665150289
Sum872195751
Variance117961.1669
MonotonicityNot monotonic
2022-11-23T02:49:27.560655image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
950115358
16.1%
860114596
15.3%
940112065
12.6%
960110122
10.6%
91018552
9.0%
90017718
8.1%
92017539
7.9%
88016669
7.0%
89015342
 
5.6%
93013921
 
4.1%
Other values (44)3530
 
3.7%
ValueCountFrequency (%)
83061
 
< 0.1%
84011
 
< 0.1%
85012
 
< 0.1%
860114596
15.3%
86041
 
< 0.1%
ValueCountFrequency (%)
970115
 
< 0.1%
960110122
10.6%
95121
 
< 0.1%
95111
 
< 0.1%
95103
 
< 0.1%

OSOURCE
Categorical

HIGH CARDINALITY

Distinct895
Distinct (%)0.9%
Missing928
Missing (%)1.0%
Memory size745.5 KiB
MBC
 
4539
SYN
 
3563
AML
 
3430
BHG
 
3324
IMP
 
2986
Other values (890)
76642 

Unique

Unique95 ?
Unique (%)0.1%

Sample

1st rowGRI
2nd rowBOA
3rd rowAMH
4th rowBRY
5th rowCWR

Common Values

ValueCountFrequency (%)
MBC4539
 
4.8%
SYN3563
 
3.7%
AML3430
 
3.6%
BHG3324
 
3.5%
IMP2986
 
3.1%
ARG2409
 
2.5%
L012270
 
2.4%
HOS2192
 
2.3%
AMB2184
 
2.3%
FRC2164
 
2.3%
Other values (885)65423
68.6%

TCODE
Real number (ℝ≥0)

SKEWED
ZEROS

Distinct55
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean54.22311659
Minimum0
Maximum72002
Zeros40917
Zeros (%)42.9%
Negative0
Negative (%)0.0%
Memory size745.5 KiB
2022-11-23T02:49:27.637795image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median1
Q32
95-th percentile28
Maximum72002
Range72002
Interquartile range (IQR)2

Descriptive statistics

Standard deviation953.8444758
Coefficient of variation (CV)17.59110387
Kurtosis1363.505742
Mean54.22311659
Median Absolute Deviation (MAD)1
Skewness34.21050883
Sum5173536
Variance909819.2841
MonotonicityNot monotonic
2022-11-23T02:49:27.708127image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
040917
42.9%
125691
26.9%
217006
17.8%
288258
 
8.7%
10021861
 
2.0%
3835
 
0.9%
4367
 
0.4%
2802871
 
0.1%
7263
 
0.1%
98054
 
0.1%
Other values (45)289
 
0.3%
ValueCountFrequency (%)
040917
42.9%
125691
26.9%
217006
17.8%
3835
 
0.9%
4367
 
0.4%
ValueCountFrequency (%)
720021
 
< 0.1%
580021
 
< 0.1%
3900211
 
< 0.1%
2802871
0.1%
240021
 
< 0.1%

STATE
Categorical

HIGH CARDINALITY

Distinct57
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size745.5 KiB
CA
17343 
FL
8376 
TX
7535 
IL
6420 
MI
5654 
Other values (52)
50084 

Unique

Unique2 ?
Unique (%)< 0.1%

Sample

1st rowIL
2nd rowCA
3rd rowNC
4th rowCA
5th rowFL

Common Values

ValueCountFrequency (%)
CA17343
18.2%
FL8376
 
8.8%
TX7535
 
7.9%
IL6420
 
6.7%
MI5654
 
5.9%
NC4160
 
4.4%
WA3577
 
3.7%
GA3403
 
3.6%
IN2980
 
3.1%
WI2795
 
2.9%
Other values (47)33169
34.8%

ZIP
Categorical

HIGH CARDINALITY

Distinct19938
Distinct (%)20.9%
Missing0
Missing (%)0.0%
Memory size745.5 KiB
85351
 
61
92653
 
59
85710
 
54
95608
 
50
60619
 
45
Other values (19933)
95143 

Unique

Unique8269 ?
Unique (%)8.7%

Sample

1st row61081
2nd row91326
3rd row27017
4th row95953
5th row33176

Common Values

ValueCountFrequency (%)
8535161
 
0.1%
9265359
 
0.1%
8571054
 
0.1%
9560850
 
0.1%
6061945
 
< 0.1%
9203745
 
< 0.1%
8911745
 
< 0.1%
4809344
 
< 0.1%
9455843
 
< 0.1%
8537543
 
< 0.1%
Other values (19928)94923
99.5%

MAILCODE
Categorical

CONSTANT
MISSING
REJECTED

Distinct1
Distinct (%)0.1%
Missing94013
Missing (%)98.5%
Memory size745.5 KiB
B
1399 

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowB
2nd rowB
3rd rowB
4th rowB
5th rowB

Common Values

ValueCountFrequency (%)
B1399
 
1.5%
(Missing)94013
98.5%

Category Frequency Plot

2022-11-23T02:49:27.783160image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

PVASTATE
Categorical

MISSING

Distinct2
Distinct (%)0.1%
Missing93954
Missing (%)98.5%
Memory size745.5 KiB
P
1453 
E
 
5

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowP
2nd rowP
3rd rowP
4th rowP
5th rowP

Common Values

ValueCountFrequency (%)
P1453
 
1.5%
E5
 
< 0.1%
(Missing)93954
98.5%

Category Frequency Plot

2022-11-23T02:49:27.830114image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

DOB
Real number (ℝ≥0)

ZEROS

Distinct947
Distinct (%)1.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2723.602933
Minimum0
Maximum9710
Zeros23661
Zeros (%)24.8%
Negative0
Negative (%)0.0%
Memory size745.5 KiB
2022-11-23T02:49:27.886297image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q1201
median2610
Q34601
95-th percentile6201
Maximum9710
Range9710
Interquartile range (IQR)4400

Descriptive statistics

Standard deviation2132.241295
Coefficient of variation (CV)0.7828752383
Kurtosis-1.155497736
Mean2723.602933
Median Absolute Deviation (MAD)1994.5
Skewness0.1628384487
Sum259864403
Variance4546452.939
MonotonicityNot monotonic
2022-11-23T02:49:27.957820image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
023661
 
24.8%
48011479
 
1.6%
50011326
 
1.4%
30011288
 
1.3%
28011225
 
1.3%
44011210
 
1.3%
52011202
 
1.3%
22011192
 
1.2%
26011192
 
1.2%
42011184
 
1.2%
Other values (937)60453
63.4%
ValueCountFrequency (%)
023661
24.8%
132
 
< 0.1%
23
 
< 0.1%
41
 
< 0.1%
51
 
< 0.1%
ValueCountFrequency (%)
97102
< 0.1%
97082
< 0.1%
97061
< 0.1%
97041
< 0.1%
97012
< 0.1%

NOEXCH
Unsupported

REJECTED
UNSUPPORTED

Missing7
Missing (%)< 0.1%
Memory size745.5 KiB

RECINHSE
Categorical

CONSTANT
MISSING
REJECTED

Distinct1
Distinct (%)< 0.1%
Missing88709
Missing (%)93.0%
Memory size745.5 KiB
X
6703 

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowX
2nd rowX
3rd rowX
4th rowX
5th rowX

Common Values

ValueCountFrequency (%)
X6703
 
7.0%
(Missing)88709
93.0%

Category Frequency Plot

2022-11-23T02:49:28.020716image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

RECP3
Categorical

CONSTANT
MISSING
REJECTED

Distinct1
Distinct (%)< 0.1%
Missing93395
Missing (%)97.9%
Memory size745.5 KiB
X
2017 

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowX
2nd rowX
3rd rowX
4th rowX
5th rowX

Common Values

ValueCountFrequency (%)
X2017
 
2.1%
(Missing)93395
97.9%

Category Frequency Plot

2022-11-23T02:49:28.066827image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

RECPGVG
Categorical

CONSTANT
MISSING
REJECTED

Distinct1
Distinct (%)0.9%
Missing95298
Missing (%)99.9%
Memory size745.5 KiB
X
114 

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowX
2nd rowX
3rd rowX
4th rowX
5th rowX

Common Values

ValueCountFrequency (%)
X114
 
0.1%
(Missing)95298
99.9%

Category Frequency Plot

2022-11-23T02:49:28.111231image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

RECSWEEP
Categorical

CONSTANT
MISSING
REJECTED

Distinct1
Distinct (%)0.1%
Missing93795
Missing (%)98.3%
Memory size745.5 KiB
X
1617 

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowX
2nd rowX
3rd rowX
4th rowX
5th rowX

Common Values

ValueCountFrequency (%)
X1617
 
1.7%
(Missing)93795
98.3%

Category Frequency Plot

2022-11-23T02:49:28.156101image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

MDMAUD
Categorical

Distinct28
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size745.5 KiB
XXXX
95118 
C1CM
 
65
L1CM
 
44
I1CM
 
37
D2CM
 
28
Other values (23)
 
120

Unique

Unique9 ?
Unique (%)< 0.1%

Sample

1st rowXXXX
2nd rowXXXX
3rd rowXXXX
4th rowXXXX
5th rowXXXX

Common Values

ValueCountFrequency (%)
XXXX95118
99.7%
C1CM65
 
0.1%
L1CM44
 
< 0.1%
I1CM37
 
< 0.1%
D2CM28
 
< 0.1%
C2CM24
 
< 0.1%
D1CM20
 
< 0.1%
L2CM15
 
< 0.1%
L1LM8
 
< 0.1%
C1LM8
 
< 0.1%
Other values (18)45
 
< 0.1%

DOMAIN
Categorical

MISSING

Distinct16
Distinct (%)< 0.1%
Missing2316
Missing (%)2.4%
Memory size745.5 KiB
R2
13623 
T2
12369 
S1
11503 
S2
8530 
C2
8264 
Other values (11)
38807 

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowT2
2nd rowS1
3rd rowR2
4th rowR2
5th rowS2

Common Values

ValueCountFrequency (%)
R213623
14.3%
T212369
13.0%
S111503
12.1%
S28530
8.9%
C28264
8.7%
C16145
6.4%
C35280
 
5.5%
T14982
 
5.2%
R34809
 
5.0%
U14510
 
4.7%
Other values (6)13081
13.7%

CLUSTER
Real number (ℝ≥0)

MISSING

Distinct53
Distinct (%)0.1%
Missing2316
Missing (%)2.4%
Infinite0
Infinite (%)0.0%
Mean27.92255306
Minimum1
Maximum53
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size745.5 KiB
2022-11-23T02:49:28.210499image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile4
Q115
median28
Q340
95-th percentile50
Maximum53
Range52
Interquartile range (IQR)25

Descriptive statistics

Standard deviation14.44965168
Coefficient of variation (CV)0.5174903471
Kurtosis-1.151259944
Mean27.92255306
Median Absolute Deviation (MAD)12
Skewness-0.08945778399
Sum2599478
Variance208.7924336
MonotonicityNot monotonic
2022-11-23T02:49:28.283831image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
403979
 
4.2%
353624
 
3.8%
363617
 
3.8%
273553
 
3.7%
243539
 
3.7%
493315
 
3.5%
123000
 
3.1%
182897
 
3.0%
132706
 
2.8%
302607
 
2.7%
Other values (43)60259
63.2%
ValueCountFrequency (%)
11140
1.2%
21942
2.0%
31428
1.5%
4561
 
0.6%
51014
1.1%
ValueCountFrequency (%)
531441
1.5%
52270
 
0.3%
512322
2.4%
50776
 
0.8%
493315
3.5%

AGE
Real number (ℝ≥0)

MISSING

Distinct96
Distinct (%)0.1%
Missing23665
Missing (%)24.8%
Infinite0
Infinite (%)0.0%
Mean61.61164927
Minimum1
Maximum98
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size745.5 KiB
2022-11-23T02:49:28.357769image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile34.3
Q148
median62
Q375
95-th percentile87
Maximum98
Range97
Interquartile range (IQR)27

Descriptive statistics

Standard deviation16.66419859
Coefficient of variation (CV)0.270471555
Kurtosis-0.8857439861
Mean61.61164927
Median Absolute Deviation (MAD)14
Skewness-0.1085397156
Sum4420451
Variance277.6955145
MonotonicityNot monotonic
2022-11-23T02:49:28.431267image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
501930
 
2.0%
761885
 
2.0%
721813
 
1.9%
681809
 
1.9%
741801
 
1.9%
701740
 
1.8%
781734
 
1.8%
481730
 
1.8%
661622
 
1.7%
541621
 
1.7%
Other values (86)54062
56.7%
(Missing)23665
24.8%
ValueCountFrequency (%)
19
< 0.1%
24
< 0.1%
32
 
< 0.1%
42
 
< 0.1%
61
 
< 0.1%
ValueCountFrequency (%)
9841
 
< 0.1%
9769
 
0.1%
96213
0.2%
95140
0.1%
94265
0.3%

AGEFLAG
Categorical

MISSING

Distinct2
Distinct (%)< 0.1%
Missing29548
Missing (%)31.0%
Memory size745.5 KiB
E
57344 
I
8520 

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowE
2nd rowE
3rd rowE
4th rowE
5th rowI

Common Values

ValueCountFrequency (%)
E57344
60.1%
I8520
 
8.9%
(Missing)29548
31.0%

Category Frequency Plot

2022-11-23T02:49:28.498109image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

HOMEOWNR
Categorical

MISSING

Distinct2
Distinct (%)< 0.1%
Missing22228
Missing (%)23.3%
Memory size745.5 KiB
H
52354 
U
20830 

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowH
2nd rowU
3rd rowU
4th rowH
5th rowH

Common Values

ValueCountFrequency (%)
H52354
54.9%
U20830
 
21.8%
(Missing)22228
23.3%

Category Frequency Plot

2022-11-23T02:49:28.549152image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

CHILD03
Categorical

MISSING

Distinct3
Distinct (%)0.3%
Missing94266
Missing (%)98.8%
Memory size745.5 KiB
M
869 
F
237 
B
 
40

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowM
2nd rowM
3rd rowM
4th rowM
5th rowM

Common Values

ValueCountFrequency (%)
M869
 
0.9%
F237
 
0.2%
B40
 
< 0.1%
(Missing)94266
98.8%

Category Frequency Plot

2022-11-23T02:49:28.664626image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

CHILD07
Categorical

MISSING

Distinct3
Distinct (%)0.2%
Missing93846
Missing (%)98.4%
Memory size745.5 KiB
M
1061 
F
408 
B
 
97

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowM
2nd rowM
3rd rowB
4th rowM
5th rowM

Common Values

ValueCountFrequency (%)
M1061
 
1.1%
F408
 
0.4%
B97
 
0.1%
(Missing)93846
98.4%

Category Frequency Plot

2022-11-23T02:49:28.716501image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

CHILD12
Categorical

MISSING

Distinct3
Distinct (%)0.2%
Missing93601
Missing (%)98.1%
Memory size745.5 KiB
M
1149 
F
520 
B
142 

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowF
2nd rowF
3rd rowM
4th rowM
5th rowF

Common Values

ValueCountFrequency (%)
M1149
 
1.2%
F520
 
0.5%
B142
 
0.1%
(Missing)93601
98.1%

Category Frequency Plot

2022-11-23T02:49:28.769996image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

CHILD18
Categorical

MISSING

Distinct3
Distinct (%)0.1%
Missing92565
Missing (%)97.0%
Memory size745.5 KiB
M
1442 
F
1142 
B
263 

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowM
2nd rowF
3rd rowM
4th rowM
5th rowF

Common Values

ValueCountFrequency (%)
M1442
 
1.5%
F1142
 
1.2%
B263
 
0.3%
(Missing)92565
97.0%

Category Frequency Plot

2022-11-23T02:49:28.822740image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

NUMCHLD
Real number (ℝ≥0)

MISSING

Distinct7
Distinct (%)0.1%
Missing83026
Missing (%)87.0%
Infinite0
Infinite (%)0.0%
Mean1.527773292
Minimum1
Maximum7
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size745.5 KiB
2022-11-23T02:49:28.865681image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median1
Q32
95-th percentile3
Maximum7
Range6
Interquartile range (IQR)1

Descriptive statistics

Standard deviation0.8068612706
Coefficient of variation (CV)0.5281289276
Kurtosis2.71889395
Mean1.527773292
Median Absolute Deviation (MAD)0
Skewness1.649584019
Sum18923
Variance0.65102511
MonotonicityNot monotonic
2022-11-23T02:49:28.911118image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram with fixed size bins (bins=7)
ValueCountFrequency (%)
17792
 
8.2%
23110
 
3.3%
31101
 
1.2%
4316
 
0.3%
559
 
0.1%
67
 
< 0.1%
71
 
< 0.1%
(Missing)83026
87.0%
ValueCountFrequency (%)
17792
8.2%
23110
 
3.3%
31101
 
1.2%
4316
 
0.3%
559
 
0.1%
ValueCountFrequency (%)
71
 
< 0.1%
67
 
< 0.1%
559
 
0.1%
4316
 
0.3%
31101
1.2%

INCOME
Real number (ℝ≥0)

MISSING

Distinct7
Distinct (%)< 0.1%
Missing21286
Missing (%)22.3%
Infinite0
Infinite (%)0.0%
Mean3.88624774
Minimum1
Maximum7
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size745.5 KiB
2022-11-23T02:49:28.961153image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q12
median4
Q35
95-th percentile7
Maximum7
Range6
Interquartile range (IQR)3

Descriptive statistics

Standard deviation1.854959501
Coefficient of variation (CV)0.4773137549
Kurtosis-1.087148577
Mean3.88624774
Median Absolute Deviation (MAD)2
Skewness0.02003007225
Sum288072
Variance3.440874751
MonotonicityNot monotonic
2022-11-23T02:49:29.007064image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram with fixed size bins (bins=7)
ValueCountFrequency (%)
515451
16.2%
213114
13.7%
412732
13.3%
19022
9.5%
38558
9.0%
67778
 
8.2%
77471
 
7.8%
(Missing)21286
22.3%
ValueCountFrequency (%)
19022
9.5%
213114
13.7%
38558
9.0%
412732
13.3%
515451
16.2%
ValueCountFrequency (%)
77471
7.8%
67778
8.2%
515451
16.2%
412732
13.3%
38558
9.0%

GENDER
Categorical

MISSING

Distinct6
Distinct (%)< 0.1%
Missing2957
Missing (%)3.1%
Memory size745.5 KiB
F
51277 
M
39094 
U
 
1715
J
 
365
C
 
2

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowF
2nd rowM
3rd rowM
4th rowF
5th rowF

Common Values

ValueCountFrequency (%)
F51277
53.7%
M39094
41.0%
U1715
 
1.8%
J365
 
0.4%
C2
 
< 0.1%
A2
 
< 0.1%
(Missing)2957
 
3.1%

Category Frequency Plot

2022-11-23T02:49:29.068583image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

WEALTH1
Real number (ℝ≥0)

MISSING
ZEROS

Distinct10
Distinct (%)< 0.1%
Missing44732
Missing (%)46.9%
Infinite0
Infinite (%)0.0%
Mean5.3456985
Minimum0
Maximum9
Zeros2413
Zeros (%)2.5%
Negative0
Negative (%)0.0%
Memory size745.5 KiB
2022-11-23T02:49:29.117412image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile1
Q13
median6
Q38
95-th percentile9
Maximum9
Range9
Interquartile range (IQR)5

Descriptive statistics

Standard deviation2.742489506
Coefficient of variation (CV)0.5130273444
Kurtosis-1.048129636
Mean5.3456985
Median Absolute Deviation (MAD)2
Skewness-0.3298774843
Sum270920
Variance7.521248688
MonotonicityNot monotonic
2022-11-23T02:49:29.164320image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%)
97585
 
7.9%
86793
 
7.1%
76198
 
6.5%
65825
 
6.1%
55280
 
5.5%
44810
 
5.0%
34237
 
4.4%
24085
 
4.3%
13454
 
3.6%
02413
 
2.5%
(Missing)44732
46.9%
ValueCountFrequency (%)
02413
2.5%
13454
3.6%
24085
4.3%
34237
4.4%
44810
5.0%
ValueCountFrequency (%)
97585
7.9%
86793
7.1%
76198
6.5%
65825
6.1%
55280
5.5%

HIT
Real number (ℝ≥0)

ZEROS

Distinct75
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3.321437555
Minimum0
Maximum241
Zeros55672
Zeros (%)58.3%
Negative0
Negative (%)0.0%
Memory size745.5 KiB
2022-11-23T02:49:29.225822image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q33
95-th percentile17
Maximum241
Range241
Interquartile range (IQR)3

Descriptive statistics

Standard deviation9.30689879
Coefficient of variation (CV)2.802069476
Kurtosis326.0662502
Mean3.321437555
Median Absolute Deviation (MAD)0
Skewness13.92161019
Sum316905
Variance86.61836509
MonotonicityNot monotonic
2022-11-23T02:49:29.299386image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
055672
58.3%
18200
 
8.6%
25622
 
5.9%
33377
 
3.5%
42820
 
3.0%
52295
 
2.4%
62108
 
2.2%
71681
 
1.8%
81525
 
1.6%
91306
 
1.4%
Other values (65)10806
 
11.3%
ValueCountFrequency (%)
055672
58.3%
18200
 
8.6%
25622
 
5.9%
33377
 
3.5%
42820
 
3.0%
ValueCountFrequency (%)
2414
 
< 0.1%
24070
0.1%
841
 
< 0.1%
791
 
< 0.1%
752
 
< 0.1%

MBCRAFT
Real number (ℝ≥0)

MISSING
ZEROS

Distinct7
Distinct (%)< 0.1%
Missing52854
Missing (%)55.4%
Infinite0
Infinite (%)0.0%
Mean0.1520748155
Minimum0
Maximum6
Zeros37707
Zeros (%)39.5%
Negative0
Negative (%)0.0%
Memory size745.5 KiB
2022-11-23T02:49:29.358654image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile1
Maximum6
Range6
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.4700232597
Coefficient of variation (CV)3.090737003
Kurtosis15.3335252
Mean0.1520748155
Median Absolute Deviation (MAD)0
Skewness3.642809396
Sum6472
Variance0.2209218646
MonotonicityNot monotonic
2022-11-23T02:49:29.404255image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram with fixed size bins (bins=7)
ValueCountFrequency (%)
037707
39.5%
13521
 
3.7%
21079
 
1.1%
3215
 
0.2%
433
 
< 0.1%
52
 
< 0.1%
61
 
< 0.1%
(Missing)52854
55.4%
ValueCountFrequency (%)
037707
39.5%
13521
 
3.7%
21079
 
1.1%
3215
 
0.2%
433
 
< 0.1%
ValueCountFrequency (%)
61
 
< 0.1%
52
 
< 0.1%
433
 
< 0.1%
3215
 
0.2%
21079
1.1%

MBGARDEN
Real number (ℝ≥0)

MISSING
ZEROS

Distinct5
Distinct (%)< 0.1%
Missing52854
Missing (%)55.4%
Infinite0
Infinite (%)0.0%
Mean0.05916631421
Minimum0
Maximum4
Zeros40286
Zeros (%)42.2%
Negative0
Negative (%)0.0%
Memory size745.5 KiB
2022-11-23T02:49:29.454969image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile1
Maximum4
Range4
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.2620778594
Coefficient of variation (CV)4.429511335
Kurtosis30.46328589
Mean0.05916631421
Median Absolute Deviation (MAD)0
Skewness5.034254128
Sum2518
Variance0.0686848044
MonotonicityNot monotonic
2022-11-23T02:49:29.503517image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
040286
42.2%
12054
 
2.2%
2193
 
0.2%
322
 
< 0.1%
43
 
< 0.1%
(Missing)52854
55.4%
ValueCountFrequency (%)
040286
42.2%
12054
 
2.2%
2193
 
0.2%
322
 
< 0.1%
43
 
< 0.1%
ValueCountFrequency (%)
43
 
< 0.1%
322
 
< 0.1%
2193
 
0.2%
12054
 
2.2%
040286
42.2%

MBBOOKS
Real number (ℝ≥0)

MISSING
ZEROS

Distinct10
Distinct (%)< 0.1%
Missing52854
Missing (%)55.4%
Infinite0
Infinite (%)0.0%
Mean1.116382349
Minimum0
Maximum9
Zeros21299
Zeros (%)22.3%
Negative0
Negative (%)0.0%
Memory size745.5 KiB
2022-11-23T02:49:29.558679image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q32
95-th percentile5
Maximum9
Range9
Interquartile range (IQR)2

Descriptive statistics

Standard deviation1.669967222
Coefficient of variation (CV)1.495873903
Kurtosis5.387188107
Mean1.116382349
Median Absolute Deviation (MAD)0
Skewness2.178250698
Sum47511
Variance2.788790522
MonotonicityNot monotonic
2022-11-23T02:49:29.605877image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%)
021299
22.3%
110371
 
10.9%
24664
 
4.9%
32465
 
2.6%
41469
 
1.5%
5901
 
0.9%
6538
 
0.6%
9325
 
0.3%
7325
 
0.3%
8201
 
0.2%
(Missing)52854
55.4%
ValueCountFrequency (%)
021299
22.3%
110371
10.9%
24664
 
4.9%
32465
 
2.6%
41469
 
1.5%
ValueCountFrequency (%)
9325
 
0.3%
8201
 
0.2%
7325
 
0.3%
6538
0.6%
5901
0.9%

MBCOLECT
Real number (ℝ≥0)

MISSING
ZEROS

Distinct7
Distinct (%)< 0.1%
Missing52914
Missing (%)55.5%
Infinite0
Infinite (%)0.0%
Mean0.06393242035
Minimum0
Maximum6
Zeros40267
Zeros (%)42.2%
Negative0
Negative (%)0.0%
Memory size745.5 KiB
2022-11-23T02:49:29.654529image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile1
Maximum6
Range6
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.2973435665
Coefficient of variation (CV)4.650904266
Kurtosis45.87160521
Mean0.06393242035
Median Absolute Deviation (MAD)0
Skewness5.885714206
Sum2717
Variance0.08841319655
MonotonicityNot monotonic
2022-11-23T02:49:29.700906image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram with fixed size bins (bins=7)
ValueCountFrequency (%)
040267
42.2%
11837
 
1.9%
2324
 
0.3%
354
 
0.1%
411
 
< 0.1%
54
 
< 0.1%
61
 
< 0.1%
(Missing)52914
55.5%
ValueCountFrequency (%)
040267
42.2%
11837
 
1.9%
2324
 
0.3%
354
 
0.1%
411
 
< 0.1%
ValueCountFrequency (%)
61
 
< 0.1%
54
 
< 0.1%
411
 
< 0.1%
354
 
0.1%
2324
0.3%

MAGFAML
Real number (ℝ≥0)

MISSING
ZEROS

Distinct9
Distinct (%)< 0.1%
Missing52854
Missing (%)55.4%
Infinite0
Infinite (%)0.0%
Mean0.4483293388
Minimum0
Maximum9
Zeros29790
Zeros (%)31.2%
Negative0
Negative (%)0.0%
Memory size745.5 KiB
2022-11-23T02:49:29.753101image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q31
95-th percentile2
Maximum9
Range9
Interquartile range (IQR)1

Descriptive statistics

Standard deviation0.8210102088
Coefficient of variation (CV)1.831265852
Kurtosis6.389063559
Mean0.4483293388
Median Absolute Deviation (MAD)0
Skewness2.283911349
Sum19080
Variance0.6740577629
MonotonicityNot monotonic
2022-11-23T02:49:29.863925image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram with fixed size bins (bins=9)
ValueCountFrequency (%)
029790
31.2%
18468
 
8.9%
22859
 
3.0%
31007
 
1.1%
4332
 
0.3%
577
 
0.1%
617
 
< 0.1%
77
 
< 0.1%
91
 
< 0.1%
(Missing)52854
55.4%
ValueCountFrequency (%)
029790
31.2%
18468
 
8.9%
22859
 
3.0%
31007
 
1.1%
4332
 
0.3%
ValueCountFrequency (%)
91
 
< 0.1%
77
 
< 0.1%
617
 
< 0.1%
577
 
0.1%
4332
0.3%

MAGFEM
Real number (ℝ≥0)

MISSING
ZEROS

Distinct6
Distinct (%)< 0.1%
Missing52854
Missing (%)55.4%
Infinite0
Infinite (%)0.0%
Mean0.1263217256
Minimum0
Maximum5
Zeros37845
Zeros (%)39.7%
Negative0
Negative (%)0.0%
Memory size745.5 KiB
2022-11-23T02:49:29.909772image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile1
Maximum5
Range5
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.3809160436
Coefficient of variation (CV)3.015443635
Kurtosis13.17258859
Mean0.1263217256
Median Absolute Deviation (MAD)0
Skewness3.358896577
Sum5376
Variance0.1450970323
MonotonicityNot monotonic
2022-11-23T02:49:29.958084image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
037845
39.7%
14117
 
4.3%
2537
 
0.6%
352
 
0.1%
46
 
< 0.1%
51
 
< 0.1%
(Missing)52854
55.4%
ValueCountFrequency (%)
037845
39.7%
14117
 
4.3%
2537
 
0.6%
352
 
0.1%
46
 
< 0.1%
ValueCountFrequency (%)
51
 
< 0.1%
46
 
< 0.1%
352
 
0.1%
2537
 
0.6%
14117
4.3%

MAGMALE
Real number (ℝ≥0)

MISSING
ZEROS

Distinct5
Distinct (%)< 0.1%
Missing52854
Missing (%)55.4%
Infinite0
Infinite (%)0.0%
Mean0.06572207341
Minimum0
Maximum4
Zeros40036
Zeros (%)42.0%
Negative0
Negative (%)0.0%
Memory size745.5 KiB
2022-11-23T02:49:30.007101image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile1
Maximum4
Range4
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.2763978718
Coefficient of variation (CV)4.205556178
Kurtosis28.64764248
Mean0.06572207341
Median Absolute Deviation (MAD)0
Skewness4.836427925
Sum2797
Variance0.07639578355
MonotonicityNot monotonic
2022-11-23T02:49:30.055455image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
040036
42.0%
12287
 
2.4%
2199
 
0.2%
332
 
< 0.1%
44
 
< 0.1%
(Missing)52854
55.4%
ValueCountFrequency (%)
040036
42.0%
12287
 
2.4%
2199
 
0.2%
332
 
< 0.1%
44
 
< 0.1%
ValueCountFrequency (%)
44
 
< 0.1%
332
 
< 0.1%
2199
 
0.2%
12287
 
2.4%
040036
42.0%

PUBGARDN
Real number (ℝ≥0)

MISSING
ZEROS

Distinct6
Distinct (%)< 0.1%
Missing52854
Missing (%)55.4%
Infinite0
Infinite (%)0.0%
Mean0.1418064759
Minimum0
Maximum5
Zeros38388
Zeros (%)40.2%
Negative0
Negative (%)0.0%
Memory size745.5 KiB
2022-11-23T02:49:30.107324image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile1
Maximum5
Range5
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.4904137292
Coefficient of variation (CV)3.458330984
Kurtosis21.73222558
Mean0.1418064759
Median Absolute Deviation (MAD)0
Skewness4.29972769
Sum6035
Variance0.2405056258
MonotonicityNot monotonic
2022-11-23T02:49:30.156433image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
038388
40.2%
12835
 
3.0%
2925
 
1.0%
3303
 
0.3%
494
 
0.1%
513
 
< 0.1%
(Missing)52854
55.4%
ValueCountFrequency (%)
038388
40.2%
12835
 
3.0%
2925
 
1.0%
3303
 
0.3%
494
 
0.1%
ValueCountFrequency (%)
513
 
< 0.1%
494
 
0.1%
3303
 
0.3%
2925
 
1.0%
12835
3.0%

PUBCULIN
Real number (ℝ≥0)

MISSING
ZEROS

Distinct7
Distinct (%)< 0.1%
Missing52854
Missing (%)55.4%
Infinite0
Infinite (%)0.0%
Mean0.1452370882
Minimum0
Maximum6
Zeros37428
Zeros (%)39.2%
Negative0
Negative (%)0.0%
Memory size745.5 KiB
2022-11-23T02:49:30.205398image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile1
Maximum6
Range6
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.4278223034
Coefficient of variation (CV)2.945682185
Kurtosis14.88638546
Mean0.1452370882
Median Absolute Deviation (MAD)0
Skewness3.480126122
Sum6181
Variance0.1830319233
MonotonicityNot monotonic
2022-11-23T02:49:30.250798image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram with fixed size bins (bins=7)
ValueCountFrequency (%)
037428
39.2%
14251
 
4.5%
2733
 
0.8%
3123
 
0.1%
421
 
< 0.1%
61
 
< 0.1%
51
 
< 0.1%
(Missing)52854
55.4%
ValueCountFrequency (%)
037428
39.2%
14251
 
4.5%
2733
 
0.8%
3123
 
0.1%
421
 
< 0.1%
ValueCountFrequency (%)
61
 
< 0.1%
51
 
< 0.1%
421
 
< 0.1%
3123
 
0.1%
2733
0.8%

PUBHLTH
Real number (ℝ≥0)

MISSING
ZEROS

Distinct10
Distinct (%)< 0.1%
Missing52854
Missing (%)55.4%
Infinite0
Infinite (%)0.0%
Mean0.7144837633
Minimum0
Maximum9
Zeros27309
Zeros (%)28.6%
Negative0
Negative (%)0.0%
Memory size745.5 KiB
2022-11-23T02:49:30.302446image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q31
95-th percentile3
Maximum9
Range9
Interquartile range (IQR)1

Descriptive statistics

Standard deviation1.249890774
Coefficient of variation (CV)1.749362041
Kurtosis5.719827438
Mean0.7144837633
Median Absolute Deviation (MAD)0
Skewness2.254907795
Sum30407
Variance1.562226948
MonotonicityNot monotonic
2022-11-23T02:49:30.347727image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%)
027309
28.6%
17754
 
8.1%
23451
 
3.6%
31981
 
2.1%
41107
 
1.2%
5575
 
0.6%
6231
 
0.2%
798
 
0.1%
835
 
< 0.1%
917
 
< 0.1%
(Missing)52854
55.4%
ValueCountFrequency (%)
027309
28.6%
17754
 
8.1%
23451
 
3.6%
31981
 
2.1%
41107
 
1.2%
ValueCountFrequency (%)
917
 
< 0.1%
835
 
< 0.1%
798
 
0.1%
6231
0.2%
5575
0.6%

PUBDOITY
Real number (ℝ≥0)

MISSING
ZEROS

Distinct9
Distinct (%)< 0.1%
Missing52854
Missing (%)55.4%
Infinite0
Infinite (%)0.0%
Mean0.2377226373
Minimum0
Maximum8
Zeros36485
Zeros (%)38.2%
Negative0
Negative (%)0.0%
Memory size745.5 KiB
2022-11-23T02:49:30.395938image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile2
Maximum8
Range8
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.7285715845
Coefficient of variation (CV)3.064796826
Kurtosis25.09275086
Mean0.2377226373
Median Absolute Deviation (MAD)0
Skewness4.444433063
Sum10117
Variance0.5308165538
MonotonicityNot monotonic
2022-11-23T02:49:30.446107image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram with fixed size bins (bins=9)
ValueCountFrequency (%)
036485
38.2%
13882
 
4.1%
21255
 
1.3%
3430
 
0.5%
4252
 
0.3%
5141
 
0.1%
682
 
0.1%
718
 
< 0.1%
813
 
< 0.1%
(Missing)52854
55.4%
ValueCountFrequency (%)
036485
38.2%
13882
 
4.1%
21255
 
1.3%
3430
 
0.5%
4252
 
0.3%
ValueCountFrequency (%)
813
 
< 0.1%
718
 
< 0.1%
682
 
0.1%
5141
0.1%
4252
0.3%

PUBNEWFN
Real number (ℝ≥0)

MISSING
ZEROS

Distinct10
Distinct (%)< 0.1%
Missing52854
Missing (%)55.4%
Infinite0
Infinite (%)0.0%
Mean0.3762394849
Minimum0
Maximum9
Zeros33885
Zeros (%)35.5%
Negative0
Negative (%)0.0%
Memory size745.5 KiB
2022-11-23T02:49:30.500473image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile2
Maximum9
Range9
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.9595730531
Coefficient of variation (CV)2.550431551
Kurtosis19.5174276
Mean0.3762394849
Median Absolute Deviation (MAD)0
Skewness3.838799718
Sum16012
Variance0.9207804443
MonotonicityNot monotonic
2022-11-23T02:49:30.547081image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%)
033885
35.5%
14844
 
5.1%
22145
 
2.2%
3832
 
0.9%
4394
 
0.4%
5203
 
0.2%
6120
 
0.1%
756
 
0.1%
947
 
< 0.1%
832
 
< 0.1%
(Missing)52854
55.4%
ValueCountFrequency (%)
033885
35.5%
14844
 
5.1%
22145
 
2.2%
3832
 
0.9%
4394
 
0.4%
ValueCountFrequency (%)
947
 
< 0.1%
832
 
< 0.1%
756
 
0.1%
6120
0.1%
5203
0.2%

PUBPHOTO
Real number (ℝ≥0)

MISSING
ZEROS

Distinct3
Distinct (%)< 0.1%
Missing52854
Missing (%)55.4%
Infinite0
Infinite (%)0.0%
Mean0.0058743362
Minimum0
Maximum2
Zeros42313
Zeros (%)44.3%
Negative0
Negative (%)0.0%
Memory size745.5 KiB
2022-11-23T02:49:30.594995image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum2
Range2
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.07794193074
Coefficient of variation (CV)13.26821075
Kurtosis196.6214649
Mean0.0058743362
Median Absolute Deviation (MAD)0
Skewness13.66958972
Sum250
Variance0.006074944567
MonotonicityNot monotonic
2022-11-23T02:49:30.643104image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram with fixed size bins (bins=3)
ValueCountFrequency (%)
042313
44.3%
1240
 
0.3%
25
 
< 0.1%
(Missing)52854
55.4%
ValueCountFrequency (%)
042313
44.3%
1240
 
0.3%
25
 
< 0.1%
ValueCountFrequency (%)
25
 
< 0.1%
1240
 
0.3%
042313
44.3%

PUBOPP
Real number (ℝ≥0)

MISSING
ZEROS

Distinct10
Distinct (%)< 0.1%
Missing52854
Missing (%)55.4%
Infinite0
Infinite (%)0.0%
Mean0.2375581559
Minimum0
Maximum9
Zeros37237
Zeros (%)39.0%
Negative0
Negative (%)0.0%
Memory size745.5 KiB
2022-11-23T02:49:30.698044image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile1
Maximum9
Range9
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.8786390903
Coefficient of variation (CV)3.69862734
Kurtosis47.17865535
Mean0.2375581559
Median Absolute Deviation (MAD)0
Skewness6.134651705
Sum10110
Variance0.7720066509
MonotonicityNot monotonic
2022-11-23T02:49:30.744880image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%)
037237
39.0%
13401
 
3.6%
2879
 
0.9%
3454
 
0.5%
4183
 
0.2%
9145
 
0.2%
5109
 
0.1%
675
 
0.1%
743
 
< 0.1%
832
 
< 0.1%
(Missing)52854
55.4%
ValueCountFrequency (%)
037237
39.0%
13401
 
3.6%
2879
 
0.9%
3454
 
0.5%
4183
 
0.2%
ValueCountFrequency (%)
9145
0.2%
832
 
< 0.1%
743
 
< 0.1%
675
0.1%
5109
0.1%

DATASRCE
Real number (ℝ≥0)

MISSING

Distinct3
Distinct (%)< 0.1%
Missing21280
Missing (%)22.3%
Infinite0
Infinite (%)0.0%
Mean2.491299304
Minimum1
Maximum3
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size745.5 KiB
2022-11-23T02:49:30.792963image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q12
median3
Q33
95-th percentile3
Maximum3
Range2
Interquartile range (IQR)1

Descriptive statistics

Standard deviation0.6650081807
Coefficient of variation (CV)0.2669322709
Kurtosis-0.2727429127
Mean2.491299304
Median Absolute Deviation (MAD)0
Skewness-0.9490314441
Sum184685
Variance0.4422358804
MonotonicityNot monotonic
2022-11-23T02:49:30.838869image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram with fixed size bins (bins=3)
ValueCountFrequency (%)
343549
45.6%
223455
24.6%
17128
 
7.5%
(Missing)21280
22.3%
ValueCountFrequency (%)
17128
 
7.5%
223455
24.6%
343549
45.6%
ValueCountFrequency (%)
343549
45.6%
223455
24.6%
17128
 
7.5%

MALEMILI
Real number (ℝ≥0)

ZEROS

Distinct95
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1.048442544
Minimum0
Maximum99
Zeros73998
Zeros (%)77.6%
Negative0
Negative (%)0.0%
Memory size745.5 KiB
2022-11-23T02:49:30.904597image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile4
Maximum99
Range99
Interquartile range (IQR)0

Descriptive statistics

Standard deviation5.065522301
Coefficient of variation (CV)4.831473437
Kurtosis172.4881201
Mean1.048442544
Median Absolute Deviation (MAD)0
Skewness11.65018147
Sum100034
Variance25.65951618
MonotonicityNot monotonic
2022-11-23T02:49:30.978368image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
073998
77.6%
19292
 
9.7%
24324
 
4.5%
32063
 
2.2%
41185
 
1.2%
5807
 
0.8%
6549
 
0.6%
7389
 
0.4%
8366
 
0.4%
9244
 
0.3%
Other values (85)2195
 
2.3%
ValueCountFrequency (%)
073998
77.6%
19292
 
9.7%
24324
 
4.5%
32063
 
2.2%
41185
 
1.2%
ValueCountFrequency (%)
991
 
< 0.1%
981
 
< 0.1%
973
< 0.1%
966
< 0.1%
952
 
< 0.1%

MALEVET
Real number (ℝ≥0)

ZEROS

Distinct89
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean30.44533182
Minimum0
Maximum99
Zeros3318
Zeros (%)3.5%
Negative0
Negative (%)0.0%
Memory size745.5 KiB
2022-11-23T02:49:31.119809image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile10
Q124
median31
Q337
95-th percentile49
Maximum99
Range99
Interquartile range (IQR)13

Descriptive statistics

Standard deviation11.47055411
Coefficient of variation (CV)0.3767590439
Kurtosis1.278372129
Mean30.44533182
Median Absolute Deviation (MAD)6
Skewness-0.1790539706
Sum2904850
Variance131.5736115
MonotonicityNot monotonic
2022-11-23T02:49:31.190274image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
314305
 
4.5%
304295
 
4.5%
324138
 
4.3%
294119
 
4.3%
334075
 
4.3%
284020
 
4.2%
273755
 
3.9%
343742
 
3.9%
353545
 
3.7%
263522
 
3.7%
Other values (79)55896
58.6%
ValueCountFrequency (%)
03318
3.5%
121
 
< 0.1%
257
 
0.1%
382
 
0.1%
4130
 
0.1%
ValueCountFrequency (%)
995
< 0.1%
981
 
< 0.1%
901
 
< 0.1%
856
< 0.1%
845
< 0.1%

VIETVETS
Real number (ℝ≥0)

ZEROS

Distinct95
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean29.70231208
Minimum0
Maximum99
Zeros5502
Zeros (%)5.8%
Negative0
Negative (%)0.0%
Memory size745.5 KiB
2022-11-23T02:49:31.262207image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q120
median29
Q339
95-th percentile55
Maximum99
Range99
Interquartile range (IQR)19

Descriptive statistics

Standard deviation15.09775151
Coefficient of variation (CV)0.5083022315
Kurtosis0.5494792944
Mean29.70231208
Median Absolute Deviation (MAD)9
Skewness0.267682242
Sum2833957
Variance227.9421007
MonotonicityNot monotonic
2022-11-23T02:49:31.334306image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
05502
 
5.8%
273075
 
3.2%
283046
 
3.2%
312956
 
3.1%
292908
 
3.0%
322880
 
3.0%
302860
 
3.0%
262703
 
2.8%
332698
 
2.8%
252623
 
2.7%
Other values (85)64161
67.2%
ValueCountFrequency (%)
05502
5.8%
114
 
< 0.1%
274
 
0.1%
3128
 
0.1%
4255
 
0.3%
ValueCountFrequency (%)
99107
0.1%
932
 
< 0.1%
922
 
< 0.1%
914
 
< 0.1%
905
 
< 0.1%

WWIIVETS
Real number (ℝ≥0)

ZEROS

Distinct100
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean32.63771853
Minimum0
Maximum99
Zeros5264
Zeros (%)5.5%
Negative0
Negative (%)0.0%
Memory size745.5 KiB
2022-11-23T02:49:31.407826image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q121
median32
Q343
95-th percentile64
Maximum99
Range99
Interquartile range (IQR)22

Descriptive statistics

Standard deviation17.70906496
Coefficient of variation (CV)0.5425950636
Kurtosis0.4528933536
Mean32.63771853
Median Absolute Deviation (MAD)11
Skewness0.4325934714
Sum3114030
Variance313.6109817
MonotonicityNot monotonic
2022-11-23T02:49:31.479360image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
05264
 
5.5%
322550
 
2.7%
332477
 
2.6%
282398
 
2.5%
352334
 
2.4%
292330
 
2.4%
382309
 
2.4%
302308
 
2.4%
362305
 
2.4%
312290
 
2.4%
Other values (90)68847
72.2%
ValueCountFrequency (%)
05264
5.5%
135
 
< 0.1%
295
 
0.1%
3183
 
0.2%
4301
 
0.3%
ValueCountFrequency (%)
99189
0.2%
986
 
< 0.1%
977
 
< 0.1%
9625
 
< 0.1%
957
 
< 0.1%

LOCALGOV
Real number (ℝ≥0)

ZEROS

Distinct55
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean6.842325913
Minimum0
Maximum99
Zeros6140
Zeros (%)6.4%
Negative0
Negative (%)0.0%
Memory size745.5 KiB
2022-11-23T02:49:31.552144image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q14
median6
Q39
95-th percentile15
Maximum99
Range99
Interquartile range (IQR)5

Descriptive statistics

Standard deviation4.39169909
Coefficient of variation (CV)0.6418430145
Kurtosis10.79042806
Mean6.842325913
Median Absolute Deviation (MAD)2
Skewness1.635912155
Sum652840
Variance19.2870209
MonotonicityNot monotonic
2022-11-23T02:49:31.625251image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
611025
11.6%
511016
11.5%
710028
10.5%
49137
9.6%
88477
8.9%
96641
 
7.0%
36623
 
6.9%
06140
 
6.4%
105061
 
5.3%
24253
 
4.5%
Other values (45)17011
17.8%
ValueCountFrequency (%)
06140
6.4%
11709
 
1.8%
24253
4.5%
36623
6.9%
49137
9.6%
ValueCountFrequency (%)
992
 
< 0.1%
711
 
< 0.1%
641
 
< 0.1%
599
< 0.1%
571
 
< 0.1%

STATEGOV
Real number (ℝ≥0)

ZEROS

Distinct65
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean4.568565799
Minimum0
Maximum99
Zeros14317
Zeros (%)15.0%
Negative0
Negative (%)0.0%
Memory size745.5 KiB
2022-11-23T02:49:31.699905image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q11
median3
Q36
95-th percentile14
Maximum99
Range99
Interquartile range (IQR)5

Descriptive statistics

Standard deviation5.126618309
Coefficient of variation (CV)1.122150481
Kurtosis15.11500042
Mean4.568565799
Median Absolute Deviation (MAD)2
Skewness2.956730558
Sum435896
Variance26.28221528
MonotonicityNot monotonic
2022-11-23T02:49:31.771031image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
014317
15.0%
214080
14.8%
312687
13.3%
110308
10.8%
49929
10.4%
57375
7.7%
65634
 
5.9%
74255
 
4.5%
83407
 
3.6%
92563
 
2.7%
Other values (55)10857
11.4%
ValueCountFrequency (%)
014317
15.0%
110308
10.8%
214080
14.8%
312687
13.3%
49929
10.4%
ValueCountFrequency (%)
991
< 0.1%
731
< 0.1%
652
< 0.1%
631
< 0.1%
611
< 0.1%

FEDGOV
Real number (ℝ≥0)

ZEROS

Distinct55
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3.110866558
Minimum0
Maximum87
Zeros20613
Zeros (%)21.6%
Negative0
Negative (%)0.0%
Memory size745.5 KiB
2022-11-23T02:49:31.843587image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q11
median2
Q34
95-th percentile10
Maximum87
Range87
Interquartile range (IQR)3

Descriptive statistics

Standard deviation4.155168202
Coefficient of variation (CV)1.335694773
Kurtosis24.47729217
Mean3.110866558
Median Absolute Deviation (MAD)2
Skewness3.880651712
Sum296814
Variance17.26542279
MonotonicityNot monotonic
2022-11-23T02:49:31.912611image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
020613
21.6%
218359
19.2%
116935
17.7%
312089
12.7%
47914
 
8.3%
55131
 
5.4%
63490
 
3.7%
72441
 
2.6%
81791
 
1.9%
91279
 
1.3%
Other values (45)5370
 
5.6%
ValueCountFrequency (%)
020613
21.6%
116935
17.7%
218359
19.2%
312089
12.7%
47914
 
8.3%
ValueCountFrequency (%)
871
 
< 0.1%
602
 
< 0.1%
591
 
< 0.1%
521
 
< 0.1%
516
< 0.1%

SOLP3
Real number (ℝ≥0)

MISSING

Distinct4
Distinct (%)2.2%
Missing95232
Missing (%)99.8%
Infinite0
Infinite (%)0.0%
Mean5.011111111
Minimum0
Maximum12
Zeros80
Zeros (%)0.1%
Negative0
Negative (%)0.0%
Memory size745.5 KiB
2022-11-23T02:49:31.968388image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median1
Q312
95-th percentile12
Maximum12
Range12
Interquartile range (IQR)12

Descriptive statistics

Standard deviation5.744065569
Coefficient of variation (CV)1.146265856
Kurtosis-1.842576155
Mean5.011111111
Median Absolute Deviation (MAD)1
Skewness0.3898108056
Sum902
Variance32.99428926
MonotonicityNot monotonic
2022-11-23T02:49:32.015812image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram with fixed size bins (bins=4)
ValueCountFrequency (%)
080
 
0.1%
1272
 
0.1%
118
 
< 0.1%
210
 
< 0.1%
(Missing)95232
99.8%
ValueCountFrequency (%)
080
0.1%
118
 
< 0.1%
210
 
< 0.1%
1272
0.1%
ValueCountFrequency (%)
1272
0.1%
210
 
< 0.1%
118
 
< 0.1%
080
0.1%

SOLIH
Real number (ℝ≥0)

MISSING

Distinct7
Distinct (%)0.1%
Missing89212
Missing (%)93.5%
Infinite0
Infinite (%)0.0%
Mean11.08435484
Minimum0
Maximum12
Zeros296
Zeros (%)0.3%
Negative0
Negative (%)0.0%
Memory size745.5 KiB
2022-11-23T02:49:32.061698image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile1
Q112
median12
Q312
95-th percentile12
Maximum12
Range12
Interquartile range (IQR)0

Descriptive statistics

Standard deviation3.088073275
Coefficient of variation (CV)0.2785974754
Kurtosis7.796500263
Mean11.08435484
Median Absolute Deviation (MAD)0
Skewness-3.112530822
Sum68723
Variance9.536196551
MonotonicityNot monotonic
2022-11-23T02:49:32.177633image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram with fixed size bins (bins=7)
ValueCountFrequency (%)
125693
 
6.0%
0296
 
0.3%
194
 
0.1%
275
 
0.1%
319
 
< 0.1%
416
 
< 0.1%
67
 
< 0.1%
(Missing)89212
93.5%
ValueCountFrequency (%)
0296
0.3%
194
 
0.1%
275
 
0.1%
319
 
< 0.1%
416
 
< 0.1%
ValueCountFrequency (%)
125693
6.0%
67
 
< 0.1%
416
 
< 0.1%
319
 
< 0.1%
275
 
0.1%

MAJOR
Categorical

CONSTANT
MISSING
REJECTED

Distinct1
Distinct (%)0.3%
Missing95118
Missing (%)99.7%
Memory size745.5 KiB
X
294 

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowX
2nd rowX
3rd rowX
4th rowX
5th rowX

Common Values

ValueCountFrequency (%)
X294
 
0.3%
(Missing)95118
99.7%

Category Frequency Plot

2022-11-23T02:49:32.230134image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

WEALTH2
Real number (ℝ≥0)

MISSING
ZEROS

Distinct10
Distinct (%)< 0.1%
Missing43823
Missing (%)45.9%
Infinite0
Infinite (%)0.0%
Mean4.954525189
Minimum0
Maximum9
Zeros3277
Zeros (%)3.4%
Negative0
Negative (%)0.0%
Memory size745.5 KiB
2022-11-23T02:49:32.269061image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q13
median5
Q37
95-th percentile9
Maximum9
Range9
Interquartile range (IQR)4

Descriptive statistics

Standard deviation2.802758821
Coefficient of variation (CV)0.5656967547
Kurtosis-1.170664868
Mean4.954525189
Median Absolute Deviation (MAD)2
Skewness-0.1518371253
Sum255599
Variance7.855457007
MonotonicityNot monotonic
2022-11-23T02:49:32.314715image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%)
96523
 
6.8%
85975
 
6.3%
75684
 
6.0%
65497
 
5.8%
55351
 
5.6%
45074
 
5.3%
35046
 
5.3%
24971
 
5.2%
14191
 
4.4%
03277
 
3.4%
(Missing)43823
45.9%
ValueCountFrequency (%)
03277
3.4%
14191
4.4%
24971
5.2%
35046
5.3%
45074
5.3%
ValueCountFrequency (%)
96523
6.8%
85975
6.3%
75684
6.0%
65497
5.8%
55351
5.6%

GEOCODE
Real number (ℝ≥0)

MISSING

Distinct7
Distinct (%)< 0.1%
Missing80168
Missing (%)84.0%
Infinite0
Infinite (%)0.0%
Mean6.895762267
Minimum1
Maximum14
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size745.5 KiB
2022-11-23T02:49:32.360122image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q13
median5
Q312
95-th percentile14
Maximum14
Range13
Interquartile range (IQR)9

Descriptive statistics

Standard deviation4.754605085
Coefficient of variation (CV)0.6894966649
Kurtosis-1.618410786
Mean6.895762267
Median Absolute Deviation (MAD)3
Skewness0.3763860498
Sum105119
Variance22.60626952
MonotonicityNot monotonic
2022-11-23T02:49:32.408470image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram with fixed size bins (bins=7)
ValueCountFrequency (%)
123914
 
4.1%
33327
 
3.5%
142017
 
2.1%
51918
 
2.0%
41622
 
1.7%
21408
 
1.5%
11038
 
1.1%
(Missing)80168
84.0%
ValueCountFrequency (%)
11038
 
1.1%
21408
1.5%
33327
3.5%
41622
1.7%
51918
2.0%
ValueCountFrequency (%)
142017
2.1%
123914
4.1%
51918
2.0%
41622
1.7%
33327
3.5%

COLLECT1
Categorical

CONSTANT
MISSING
REJECTED

Distinct1
Distinct (%)< 0.1%
Missing90210
Missing (%)94.5%
Memory size745.5 KiB
Y
5202 

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowY
2nd rowY
3rd rowY
4th rowY
5th rowY

Common Values

ValueCountFrequency (%)
Y5202
 
5.5%
(Missing)90210
94.5%

Category Frequency Plot

2022-11-23T02:49:32.461580image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

VETERANS
Categorical

CONSTANT
MISSING
REJECTED

Distinct1
Distinct (%)< 0.1%
Missing84986
Missing (%)89.1%
Memory size745.5 KiB
Y
10426 

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowY
2nd rowY
3rd rowY
4th rowY
5th rowY

Common Values

ValueCountFrequency (%)
Y10426
 
10.9%
(Missing)84986
89.1%

Category Frequency Plot

2022-11-23T02:49:32.502768image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

BIBLE
Categorical

CONSTANT
MISSING
REJECTED

Distinct1
Distinct (%)< 0.1%
Missing86541
Missing (%)90.7%
Memory size745.5 KiB
Y
8871 

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowY
2nd rowY
3rd rowY
4th rowY
5th rowY

Common Values

ValueCountFrequency (%)
Y8871
 
9.3%
(Missing)86541
90.7%

Category Frequency Plot

2022-11-23T02:49:32.547497image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

CATLG
Categorical

CONSTANT
MISSING
REJECTED

Distinct1
Distinct (%)< 0.1%
Missing87547
Missing (%)91.8%
Memory size745.5 KiB
Y
7865 

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowY
2nd rowY
3rd rowY
4th rowY
5th rowY

Common Values

ValueCountFrequency (%)
Y7865
 
8.2%
(Missing)87547
91.8%

Category Frequency Plot

2022-11-23T02:49:32.593860image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

HOMEE
Categorical

CONSTANT
MISSING
REJECTED

Distinct1
Distinct (%)0.1%
Missing94525
Missing (%)99.1%
Memory size745.5 KiB
Y
887 

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowY
2nd rowY
3rd rowY
4th rowY
5th rowY

Common Values

ValueCountFrequency (%)
Y887
 
0.9%
(Missing)94525
99.1%

Category Frequency Plot

2022-11-23T02:49:32.640551image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

PETS
Categorical

CONSTANT
MISSING
REJECTED

Distinct1
Distinct (%)< 0.1%
Missing81086
Missing (%)85.0%
Memory size745.5 KiB
Y
14326 

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowY
2nd rowY
3rd rowY
4th rowY
5th rowY

Common Values

ValueCountFrequency (%)
Y14326
 
15.0%
(Missing)81086
85.0%

Category Frequency Plot

2022-11-23T02:49:32.686868image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

CDPLAY
Categorical

CONSTANT
MISSING
REJECTED

Distinct1
Distinct (%)< 0.1%
Missing83158
Missing (%)87.2%
Memory size745.5 KiB
Y
12254 

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowY
2nd rowY
3rd rowY
4th rowY
5th rowY

Common Values

ValueCountFrequency (%)
Y12254
 
12.8%
(Missing)83158
87.2%

Category Frequency Plot

2022-11-23T02:49:32.731331image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

STEREO
Categorical

CONSTANT
MISSING
REJECTED

Distinct1
Distinct (%)< 0.1%
Missing82618
Missing (%)86.6%
Memory size745.5 KiB
Y
12794 

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowY
2nd rowY
3rd rowY
4th rowY
5th rowY

Common Values

ValueCountFrequency (%)
Y12794
 
13.4%
(Missing)82618
86.6%

Category Frequency Plot

2022-11-23T02:49:32.774775image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

PCOWNERS
Categorical

CONSTANT
MISSING
REJECTED

Distinct1
Distinct (%)< 0.1%
Missing84931
Missing (%)89.0%
Memory size745.5 KiB
Y
10481 

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowY
2nd rowY
3rd rowY
4th rowY
5th rowY

Common Values

ValueCountFrequency (%)
Y10481
 
11.0%
(Missing)84931
89.0%

Category Frequency Plot

2022-11-23T02:49:32.817001image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

PHOTO
Categorical

CONSTANT
MISSING
REJECTED

Distinct1
Distinct (%)< 0.1%
Missing90626
Missing (%)95.0%
Memory size745.5 KiB
Y
4786 

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowY
2nd rowY
3rd rowY
4th rowY
5th rowY

Common Values

ValueCountFrequency (%)
Y4786
 
5.0%
(Missing)90626
95.0%

Category Frequency Plot

2022-11-23T02:49:32.856980image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

CRAFTS
Categorical

CONSTANT
MISSING
REJECTED

Distinct1
Distinct (%)< 0.1%
Missing87236
Missing (%)91.4%
Memory size745.5 KiB
Y
8176 

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowY
2nd rowY
3rd rowY
4th rowY
5th rowY

Common Values

ValueCountFrequency (%)
Y8176
 
8.6%
(Missing)87236
91.4%

Category Frequency Plot

2022-11-23T02:49:32.900650image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

FISHER
Categorical

CONSTANT
MISSING
REJECTED

Distinct1
Distinct (%)< 0.1%
Missing88282
Missing (%)92.5%
Memory size745.5 KiB
Y
7130 

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowY
2nd rowY
3rd rowY
4th rowY
5th rowY

Common Values

ValueCountFrequency (%)
Y7130
 
7.5%
(Missing)88282
92.5%

Category Frequency Plot

2022-11-23T02:49:32.946911image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

GARDENIN
Categorical

CONSTANT
MISSING
REJECTED

Distinct1
Distinct (%)< 0.1%
Missing82010
Missing (%)86.0%
Memory size745.5 KiB
Y
13402 

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowY
2nd rowY
3rd rowY
4th rowY
5th rowY

Common Values

ValueCountFrequency (%)
Y13402
 
14.0%
(Missing)82010
86.0%

Category Frequency Plot

2022-11-23T02:49:32.991310image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

BOATS
Categorical

CONSTANT
MISSING
REJECTED

Distinct1
Distinct (%)< 0.1%
Missing93384
Missing (%)97.9%
Memory size745.5 KiB
Y
2028 

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowY
2nd rowY
3rd rowY
4th rowY
5th rowY

Common Values

ValueCountFrequency (%)
Y2028
 
2.1%
(Missing)93384
97.9%

Category Frequency Plot

2022-11-23T02:49:33.037072image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

WALKER
Categorical

CONSTANT
MISSING
REJECTED

Distinct1
Distinct (%)< 0.1%
Missing84911
Missing (%)89.0%
Memory size745.5 KiB
Y
10501 

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowY
2nd rowY
3rd rowY
4th rowY
5th rowY

Common Values

ValueCountFrequency (%)
Y10501
 
11.0%
(Missing)84911
89.0%

Category Frequency Plot

2022-11-23T02:49:33.080857image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

KIDSTUFF
Categorical

CONSTANT
MISSING
REJECTED

Distinct1
Distinct (%)0.1%
Missing93876
Missing (%)98.4%
Memory size745.5 KiB
Y
1536 

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowY
2nd rowY
3rd rowY
4th rowY
5th rowY

Common Values

ValueCountFrequency (%)
Y1536
 
1.6%
(Missing)93876
98.4%

Category Frequency Plot

2022-11-23T02:49:33.124295image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

CARDS
Categorical

CONSTANT
MISSING
REJECTED

Distinct1
Distinct (%)0.1%
Missing94371
Missing (%)98.9%
Memory size745.5 KiB
Y
1041 

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowY
2nd rowY
3rd rowY
4th rowY
5th rowY

Common Values

ValueCountFrequency (%)
Y1041
 
1.1%
(Missing)94371
98.9%

Category Frequency Plot

2022-11-23T02:49:33.167426image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

PLATES
Categorical

CONSTANT
MISSING
REJECTED

Distinct1
Distinct (%)0.2%
Missing94852
Missing (%)99.4%
Memory size745.5 KiB
Y
560 

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowY
2nd rowY
3rd rowY
4th rowY
5th rowY

Common Values

ValueCountFrequency (%)
Y560
 
0.6%
(Missing)94852
99.4%

Category Frequency Plot

2022-11-23T02:49:33.208622image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

LIFESRC
Real number (ℝ≥0)

MISSING

Distinct3
Distinct (%)< 0.1%
Missing54032
Missing (%)56.6%
Infinite0
Infinite (%)0.0%
Mean2.038786854
Minimum1
Maximum3
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size745.5 KiB
2022-11-23T02:49:33.245808image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q12
median2
Q33
95-th percentile3
Maximum3
Range2
Interquartile range (IQR)1

Descriptive statistics

Standard deviation0.7173076378
Coefficient of variation (CV)0.3518306176
Kurtosis-1.055894614
Mean2.038786854
Median Absolute Deviation (MAD)1
Skewness-0.05728517936
Sum84365
Variance0.5145302472
MonotonicityNot monotonic
2022-11-23T02:49:33.294469image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram with fixed size bins (bins=3)
ValueCountFrequency (%)
220027
 
21.0%
311479
 
12.0%
19874
 
10.3%
(Missing)54032
56.6%
ValueCountFrequency (%)
19874
10.3%
220027
21.0%
311479
12.0%
ValueCountFrequency (%)
311479
12.0%
220027
21.0%
19874
10.3%

PEPSTRFL
Categorical

CONSTANT
MISSING
REJECTED

Distinct1
Distinct (%)< 0.1%
Missing50143
Missing (%)52.6%
Memory size745.5 KiB
X
45269 

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowX
2nd rowX
3rd rowX
4th rowX
5th rowX

Common Values

ValueCountFrequency (%)
X45269
47.4%
(Missing)50143
52.6%

Category Frequency Plot

2022-11-23T02:49:33.417690image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

POP901
Real number (ℝ≥0)

Distinct9906
Distinct (%)10.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3255.880204
Minimum0
Maximum98701
Zeros799
Zeros (%)0.8%
Negative0
Negative (%)0.0%
Memory size745.5 KiB
2022-11-23T02:49:33.469562image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile521
Q1990
median1565
Q33091
95-th percentile10836
Maximum98701
Range98701
Interquartile range (IQR)2101

Descriptive statistics

Standard deviation5743.217266
Coefficient of variation (CV)1.763952267
Kurtosis48.82990635
Mean3255.880204
Median Absolute Deviation (MAD)741
Skewness5.86185135
Sum310650042
Variance32984544.57
MonotonicityNot monotonic
2022-11-23T02:49:33.542031image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0799
 
0.8%
108678
 
0.1%
92377
 
0.1%
109475
 
0.1%
83473
 
0.1%
93172
 
0.1%
101571
 
0.1%
98470
 
0.1%
111270
 
0.1%
87870
 
0.1%
Other values (9896)93957
98.5%
ValueCountFrequency (%)
0799
0.8%
110
 
< 0.1%
25
 
< 0.1%
38
 
< 0.1%
43
 
< 0.1%
ValueCountFrequency (%)
987016
< 0.1%
965561
 
< 0.1%
963711
 
< 0.1%
951021
 
< 0.1%
908322
 
< 0.1%

POP902
Real number (ℝ≥0)

Distinct4786
Distinct (%)5.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean864.9930826
Minimum0
Maximum23766
Zeros842
Zeros (%)0.9%
Negative0
Negative (%)0.0%
Memory size745.5 KiB
2022-11-23T02:49:33.613737image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile131
Q1265
median421
Q3840
95-th percentile2944
Maximum23766
Range23766
Interquartile range (IQR)575

Descriptive statistics

Standard deviation1458.103434
Coefficient of variation (CV)1.685682191
Kurtosis38.80860622
Mean864.9930826
Median Absolute Deviation (MAD)201
Skewness5.298445869
Sum82530720
Variance2126065.625
MonotonicityNot monotonic
2022-11-23T02:49:33.683031image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0842
 
0.9%
296225
 
0.2%
265217
 
0.2%
261217
 
0.2%
281215
 
0.2%
268214
 
0.2%
241213
 
0.2%
225211
 
0.2%
237208
 
0.2%
257207
 
0.2%
Other values (4776)92643
97.1%
ValueCountFrequency (%)
0842
0.9%
133
 
< 0.1%
212
 
< 0.1%
320
 
< 0.1%
410
 
< 0.1%
ValueCountFrequency (%)
237661
< 0.1%
222371
< 0.1%
221241
< 0.1%
217032
< 0.1%
210621
< 0.1%

POP903
Real number (ℝ≥0)

Distinct5698
Distinct (%)6.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1222.57346
Minimum0
Maximum35403
Zeros817
Zeros (%)0.9%
Negative0
Negative (%)0.0%
Memory size745.5 KiB
2022-11-23T02:49:33.753388image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile204
Q1377
median585
Q31165
95-th percentile4039.45
Maximum35403
Range35403
Interquartile range (IQR)788

Descriptive statistics

Standard deviation2123.096242
Coefficient of variation (CV)1.736579691
Kurtosis40.89543434
Mean1222.57346
Median Absolute Deviation (MAD)271
Skewness5.498039211
Sum116648179
Variance4507537.652
MonotonicityNot monotonic
2022-11-23T02:49:33.822884image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0817
 
0.9%
340174
 
0.2%
485164
 
0.2%
380163
 
0.2%
381163
 
0.2%
372162
 
0.2%
330161
 
0.2%
397159
 
0.2%
375158
 
0.2%
311157
 
0.2%
Other values (5688)93134
97.6%
ValueCountFrequency (%)
0817
0.9%
132
 
< 0.1%
213
 
< 0.1%
312
 
< 0.1%
414
 
< 0.1%
ValueCountFrequency (%)
354032
< 0.1%
341651
< 0.1%
326831
< 0.1%
312001
< 0.1%
311671
< 0.1%

POP90C1
Real number (ℝ≥0)

ZEROS

Distinct100
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean58.58965329
Minimum0
Maximum99
Zeros35415
Zeros (%)37.1%
Negative0
Negative (%)0.0%
Memory size745.5 KiB
2022-11-23T02:49:33.898431image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median99
Q399
95-th percentile99
Maximum99
Range99
Interquartile range (IQR)99

Descriptive statistics

Standard deviation47.43077375
Coefficient of variation (CV)0.8095418061
Kurtosis-1.816472481
Mean58.58965329
Median Absolute Deviation (MAD)0
Skewness-0.382261905
Sum5590156
Variance2249.678298
MonotonicityNot monotonic
2022-11-23T02:49:33.969756image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
9950548
53.0%
035415
37.1%
98510
 
0.5%
97453
 
0.5%
95331
 
0.3%
96328
 
0.3%
94295
 
0.3%
1257
 
0.3%
88226
 
0.2%
93223
 
0.2%
Other values (90)6826
 
7.2%
ValueCountFrequency (%)
035415
37.1%
1257
 
0.3%
2178
 
0.2%
3151
 
0.2%
4121
 
0.1%
ValueCountFrequency (%)
9950548
53.0%
98510
 
0.5%
97453
 
0.5%
96328
 
0.3%
95331
 
0.3%

POP90C2
Real number (ℝ≥0)

ZEROS

Distinct100
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean13.62247935
Minimum0
Maximum99
Zeros76382
Zeros (%)80.1%
Negative0
Negative (%)0.0%
Memory size745.5 KiB
2022-11-23T02:49:34.042800image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile99
Maximum99
Range99
Interquartile range (IQR)0

Descriptive statistics

Standard deviation31.22207779
Coefficient of variation (CV)2.29195266
Kurtosis2.477076689
Mean13.62247935
Median Absolute Deviation (MAD)0
Skewness2.049533627
Sum1299748
Variance974.8181416
MonotonicityNot monotonic
2022-11-23T02:49:34.116239image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
076382
80.1%
996029
 
6.3%
1637
 
0.7%
98404
 
0.4%
96342
 
0.4%
97331
 
0.3%
2324
 
0.3%
95275
 
0.3%
3269
 
0.3%
94244
 
0.3%
Other values (90)10175
 
10.7%
ValueCountFrequency (%)
076382
80.1%
1637
 
0.7%
2324
 
0.3%
3269
 
0.3%
4207
 
0.2%
ValueCountFrequency (%)
996029
6.3%
98404
 
0.4%
97331
 
0.3%
96342
 
0.4%
95275
 
0.3%

POP90C3
Real number (ℝ≥0)

ZEROS

Distinct100
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean26.1405274
Minimum0
Maximum99
Zeros56461
Zeros (%)59.2%
Negative0
Negative (%)0.0%
Memory size745.5 KiB
2022-11-23T02:49:34.190889image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q352
95-th percentile99
Maximum99
Range99
Interquartile range (IQR)52

Descriptive statistics

Standard deviation40.03785453
Coefficient of variation (CV)1.531639126
Kurtosis-0.6299992292
Mean26.1405274
Median Absolute Deviation (MAD)0
Skewness1.09332289
Sum2494120
Variance1603.029795
MonotonicityNot monotonic
2022-11-23T02:49:34.262592image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
056461
59.2%
9917284
 
18.1%
11073
 
1.1%
2918
 
1.0%
3792
 
0.8%
4675
 
0.7%
5599
 
0.6%
6534
 
0.6%
9433
 
0.5%
7423
 
0.4%
Other values (90)16220
 
17.0%
ValueCountFrequency (%)
056461
59.2%
11073
 
1.1%
2918
 
1.0%
3792
 
0.8%
4675
 
0.7%
ValueCountFrequency (%)
9917284
18.1%
98347
 
0.4%
97334
 
0.4%
96235
 
0.2%
95201
 
0.2%

POP90C4
Real number (ℝ≥0)

Distinct81
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean48.21172389
Minimum0
Maximum99
Zeros806
Zeros (%)0.8%
Negative0
Negative (%)0.0%
Memory size745.5 KiB
2022-11-23T02:49:34.335941image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile43
Q147
median49
Q350
95-th percentile52
Maximum99
Range99
Interquartile range (IQR)3

Descriptive statistics

Standard deviation5.565579332
Coefficient of variation (CV)0.1154403718
Kurtosis48.47936441
Mean48.21172389
Median Absolute Deviation (MAD)1
Skewness-5.094062128
Sum4599977
Variance30.9756733
MonotonicityNot monotonic
2022-11-23T02:49:34.475242image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
4918086
19.0%
5017284
18.1%
4814263
14.9%
5110067
10.6%
479820
10.3%
465948
 
6.2%
524237
 
4.4%
454043
 
4.2%
442397
 
2.5%
531676
 
1.8%
Other values (71)7591
8.0%
ValueCountFrequency (%)
0806
0.8%
81
 
< 0.1%
142
 
< 0.1%
161
 
< 0.1%
171
 
< 0.1%
ValueCountFrequency (%)
9912
< 0.1%
961
 
< 0.1%
923
 
< 0.1%
916
< 0.1%
905
< 0.1%

POP90C5
Real number (ℝ≥0)

Distinct81
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean50.95138976
Minimum0
Maximum99
Zeros811
Zeros (%)0.8%
Negative0
Negative (%)0.0%
Memory size745.5 KiB
2022-11-23T02:49:34.548471image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile47
Q150
median51
Q353
95-th percentile56
Maximum99
Range99
Interquartile range (IQR)3

Descriptive statistics

Standard deviation5.768361015
Coefficient of variation (CV)0.113213026
Kurtosis51.61108127
Mean50.95138976
Median Absolute Deviation (MAD)1
Skewness-5.943056318
Sum4861374
Variance33.2739888
MonotonicityNot monotonic
2022-11-23T02:49:34.620807image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
5118089
19.0%
5017284
18.1%
5214238
14.9%
4910062
10.5%
539842
10.3%
545951
 
6.2%
484244
 
4.4%
554045
 
4.2%
562396
 
2.5%
471670
 
1.8%
Other values (71)7591
8.0%
ValueCountFrequency (%)
0811
0.8%
41
 
< 0.1%
83
 
< 0.1%
96
 
< 0.1%
105
 
< 0.1%
ValueCountFrequency (%)
997
< 0.1%
921
 
< 0.1%
862
 
< 0.1%
841
 
< 0.1%
831
 
< 0.1%

ETH1
Real number (ℝ≥0)

ZEROS

Distinct100
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean84.85450467
Minimum0
Maximum99
Zeros1075
Zeros (%)1.1%
Negative0
Negative (%)0.0%
Memory size745.5 KiB
2022-11-23T02:49:34.694949image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile36
Q182
median93
Q398
95-th percentile99
Maximum99
Range99
Interquartile range (IQR)16

Descriptive statistics

Standard deviation21.01387503
Coefficient of variation (CV)0.2476459571
Kurtosis5.636507419
Mean84.85450467
Median Absolute Deviation (MAD)5
Skewness-2.385671007
Sum8096138
Variance441.5829436
MonotonicityNot monotonic
2022-11-23T02:49:34.766256image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
9915689
16.4%
988662
 
9.1%
977133
 
7.5%
966092
 
6.4%
954961
 
5.2%
944160
 
4.4%
933656
 
3.8%
923081
 
3.2%
912919
 
3.1%
902662
 
2.8%
Other values (90)36397
38.1%
ValueCountFrequency (%)
01075
1.1%
1375
 
0.4%
2201
 
0.2%
3134
 
0.1%
4143
 
0.1%
ValueCountFrequency (%)
9915689
16.4%
988662
9.1%
977133
7.5%
966092
 
6.4%
954961
 
5.2%

ETH2
Real number (ℝ≥0)

ZEROS

Distinct100
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean7.467404519
Minimum0
Maximum99
Zeros31240
Zeros (%)32.7%
Negative0
Negative (%)0.0%
Memory size745.5 KiB
2022-11-23T02:49:34.838935image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median1
Q36
95-th percentile41
Maximum99
Range99
Interquartile range (IQR)6

Descriptive statistics

Standard deviation16.69077101
Coefficient of variation (CV)2.23515024
Kurtosis13.94795171
Mean7.467404519
Median Absolute Deviation (MAD)1
Skewness3.619829008
Sum712480
Variance278.5818368
MonotonicityNot monotonic
2022-11-23T02:49:34.910158image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
031240
32.7%
118193
19.1%
29336
 
9.8%
35785
 
6.1%
44068
 
4.3%
52892
 
3.0%
62269
 
2.4%
71940
 
2.0%
81448
 
1.5%
91349
 
1.4%
Other values (90)16892
17.7%
ValueCountFrequency (%)
031240
32.7%
118193
19.1%
29336
 
9.8%
35785
 
6.1%
44068
 
4.3%
ValueCountFrequency (%)
99492
0.5%
98224
0.2%
97135
 
0.1%
9696
 
0.1%
9564
 
0.1%

ETH3
Real number (ℝ≥0)

ZEROS

Distinct85
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.7769043726
Minimum0
Maximum99
Zeros62275
Zeros (%)65.3%
Negative0
Negative (%)0.0%
Memory size745.5 KiB
2022-11-23T02:49:34.982618image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q31
95-th percentile2
Maximum99
Range99
Interquartile range (IQR)1

Descriptive statistics

Standard deviation3.469318635
Coefficient of variation (CV)4.465567137
Kurtosis374.1960467
Mean0.7769043726
Median Absolute Deviation (MAD)0
Skewness16.86488252
Sum74126
Variance12.03617179
MonotonicityNot monotonic
2022-11-23T02:49:35.053288image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
062275
65.3%
124419
 
25.6%
24306
 
4.5%
31351
 
1.4%
4707
 
0.7%
5468
 
0.5%
6312
 
0.3%
8193
 
0.2%
7174
 
0.2%
10133
 
0.1%
Other values (75)1074
 
1.1%
ValueCountFrequency (%)
062275
65.3%
124419
 
25.6%
24306
 
4.5%
31351
 
1.4%
4707
 
0.7%
ValueCountFrequency (%)
992
 
< 0.1%
986
< 0.1%
973
< 0.1%
967
< 0.1%
954
< 0.1%

ETH4
Real number (ℝ≥0)

ZEROS

Distinct96
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2.905703685
Minimum0
Maximum99
Zeros37177
Zeros (%)39.0%
Negative0
Negative (%)0.0%
Memory size745.5 KiB
2022-11-23T02:49:35.125061image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median1
Q33
95-th percentile12
Maximum99
Range99
Interquartile range (IQR)3

Descriptive statistics

Standard deviation7.069759335
Coefficient of variation (CV)2.433062728
Kurtosis47.30910593
Mean2.905703685
Median Absolute Deviation (MAD)1
Skewness5.993047474
Sum277239
Variance49.98149706
MonotonicityNot monotonic
2022-11-23T02:49:35.196850image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
037177
39.0%
123722
24.9%
210555
 
11.1%
35691
 
6.0%
43725
 
3.9%
52671
 
2.8%
61840
 
1.9%
71437
 
1.5%
81109
 
1.2%
9931
 
1.0%
Other values (86)6554
 
6.9%
ValueCountFrequency (%)
037177
39.0%
123722
24.9%
210555
 
11.1%
35691
 
6.0%
43725
 
3.9%
ValueCountFrequency (%)
992
< 0.1%
951
 
< 0.1%
931
 
< 0.1%
924
< 0.1%
913
< 0.1%

ETH5
Real number (ℝ≥0)

ZEROS

Distinct100
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean7.458076552
Minimum0
Maximum99
Zeros15803
Zeros (%)16.6%
Negative0
Negative (%)0.0%
Memory size745.5 KiB
2022-11-23T02:49:35.270189image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q11
median2
Q37
95-th percentile35
Maximum99
Range99
Interquartile range (IQR)6

Descriptive statistics

Standard deviation13.78606104
Coefficient of variation (CV)1.848474059
Kurtosis14.2548109
Mean7.458076552
Median Absolute Deviation (MAD)2
Skewness3.514685939
Sum711590
Variance190.055479
MonotonicityNot monotonic
2022-11-23T02:49:35.343311image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
122602
23.7%
015803
16.6%
211884
12.5%
36999
 
7.3%
44690
 
4.9%
54012
 
4.2%
63330
 
3.5%
72610
 
2.7%
82213
 
2.3%
91899
 
2.0%
Other values (90)19370
20.3%
ValueCountFrequency (%)
015803
16.6%
122602
23.7%
211884
12.5%
36999
 
7.3%
44690
 
4.9%
ValueCountFrequency (%)
9913
 
< 0.1%
9834
< 0.1%
9722
< 0.1%
9637
< 0.1%
9540
< 0.1%

ETH6
Real number (ℝ≥0)

ZEROS

Distinct21
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.2160105647
Minimum0
Maximum22
Zeros80799
Zeros (%)84.7%
Negative0
Negative (%)0.0%
Memory size745.5 KiB
2022-11-23T02:49:35.408568image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile1
Maximum22
Range22
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.6792750074
Coefficient of variation (CV)3.144637894
Kurtosis134.0602664
Mean0.2160105647
Median Absolute Deviation (MAD)0
Skewness8.000837167
Sum20610
Variance0.4614145357
MonotonicityNot monotonic
2022-11-23T02:49:35.527608image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram with fixed size bins (bins=21)
ValueCountFrequency (%)
080799
84.7%
111412
 
12.0%
21952
 
2.0%
3660
 
0.7%
4275
 
0.3%
5137
 
0.1%
661
 
0.1%
736
 
< 0.1%
819
 
< 0.1%
917
 
< 0.1%
Other values (11)44
 
< 0.1%
ValueCountFrequency (%)
080799
84.7%
111412
 
12.0%
21952
 
2.0%
3660
 
0.7%
4275
 
0.3%
ValueCountFrequency (%)
223
< 0.1%
204
< 0.1%
181
 
< 0.1%
171
 
< 0.1%
161
 
< 0.1%

ETH7
Real number (ℝ≥0)

ZEROS

Distinct61
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.3973504381
Minimum0
Maximum72
Zeros78849
Zeros (%)82.6%
Negative0
Negative (%)0.0%
Memory size745.5 KiB
2022-11-23T02:49:35.590460image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile2
Maximum72
Range72
Interquartile range (IQR)0

Descriptive statistics

Standard deviation2.232166319
Coefficient of variation (CV)5.617626421
Kurtosis291.989606
Mean0.3973504381
Median Absolute Deviation (MAD)0
Skewness15.34166388
Sum37912
Variance4.982566478
MonotonicityNot monotonic
2022-11-23T02:49:35.659052image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
078849
82.6%
111518
 
12.1%
22735
 
2.9%
3826
 
0.9%
4412
 
0.4%
5230
 
0.2%
6116
 
0.1%
796
 
0.1%
860
 
0.1%
1142
 
< 0.1%
Other values (51)528
 
0.6%
ValueCountFrequency (%)
078849
82.6%
111518
 
12.1%
22735
 
2.9%
3826
 
0.9%
4412
 
0.4%
ValueCountFrequency (%)
721
 
< 0.1%
671
 
< 0.1%
603
< 0.1%
595
< 0.1%
582
 
< 0.1%

ETH8
Real number (ℝ≥0)

ZEROS

Distinct60
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.6128055171
Minimum0
Maximum99
Zeros74176
Zeros (%)77.7%
Negative0
Negative (%)0.0%
Memory size745.5 KiB
2022-11-23T02:49:35.733518image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile3
Maximum99
Range99
Interquartile range (IQR)0

Descriptive statistics

Standard deviation2.533743462
Coefficient of variation (CV)4.134661636
Kurtosis199.6891398
Mean0.6128055171
Median Absolute Deviation (MAD)0
Skewness11.23174369
Sum58469
Variance6.419855931
MonotonicityNot monotonic
2022-11-23T02:49:35.804032image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
074176
77.7%
113114
 
13.7%
23178
 
3.3%
31468
 
1.5%
4769
 
0.8%
5560
 
0.6%
6398
 
0.4%
7255
 
0.3%
8174
 
0.2%
9151
 
0.2%
Other values (50)1169
 
1.2%
ValueCountFrequency (%)
074176
77.7%
113114
 
13.7%
23178
 
3.3%
31468
 
1.5%
4769
 
0.8%
ValueCountFrequency (%)
991
 
< 0.1%
981
 
< 0.1%
751
 
< 0.1%
724
< 0.1%
702
< 0.1%

ETH9
Real number (ℝ≥0)

ZEROS

Distinct61
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.561491217
Minimum0
Maximum67
Zeros75931
Zeros (%)79.6%
Negative0
Negative (%)0.0%
Memory size745.5 KiB
2022-11-23T02:49:35.874756image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile3
Maximum67
Range67
Interquartile range (IQR)0

Descriptive statistics

Standard deviation2.309204929
Coefficient of variation (CV)4.112628762
Kurtosis173.8375568
Mean0.561491217
Median Absolute Deviation (MAD)0
Skewness10.86233094
Sum53573
Variance5.332427404
MonotonicityNot monotonic
2022-11-23T02:49:35.943385image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
075931
79.6%
111223
 
11.8%
23361
 
3.5%
31589
 
1.7%
4802
 
0.8%
5552
 
0.6%
6380
 
0.4%
7257
 
0.3%
8175
 
0.2%
10148
 
0.2%
Other values (51)994
 
1.0%
ValueCountFrequency (%)
075931
79.6%
111223
 
11.8%
23361
 
3.5%
31589
 
1.7%
4802
 
0.8%
ValueCountFrequency (%)
672
< 0.1%
642
< 0.1%
612
< 0.1%
591
< 0.1%
581
< 0.1%

ETH10
Real number (ℝ≥0)

ZEROS

Distinct33
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.2505869283
Minimum0
Maximum46
Zeros81878
Zeros (%)85.8%
Negative0
Negative (%)0.0%
Memory size745.5 KiB
2022-11-23T02:49:36.010555image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile1
Maximum46
Range46
Interquartile range (IQR)0

Descriptive statistics

Standard deviation1.003529617
Coefficient of variation (CV)4.004716541
Kurtosis277.8842018
Mean0.2505869283
Median Absolute Deviation (MAD)0
Skewness12.3670094
Sum23909
Variance1.007071691
MonotonicityNot monotonic
2022-11-23T02:49:36.069650image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram with fixed size bins (bins=33)
ValueCountFrequency (%)
081878
85.8%
19479
 
9.9%
22110
 
2.2%
3786
 
0.8%
4397
 
0.4%
5242
 
0.3%
6130
 
0.1%
7113
 
0.1%
869
 
0.1%
942
 
< 0.1%
Other values (23)166
 
0.2%
ValueCountFrequency (%)
081878
85.8%
19479
 
9.9%
22110
 
2.2%
3786
 
0.8%
4397
 
0.4%
ValueCountFrequency (%)
461
< 0.1%
381
< 0.1%
362
< 0.1%
331
< 0.1%
311
< 0.1%

ETH11
Real number (ℝ≥0)

ZEROS

Distinct34
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.2103089758
Minimum0
Maximum47
Zeros85105
Zeros (%)89.2%
Negative0
Negative (%)0.0%
Memory size745.5 KiB
2022-11-23T02:49:36.129301image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile1
Maximum47
Range47
Interquartile range (IQR)0

Descriptive statistics

Standard deviation1.05412098
Coefficient of variation (CV)5.012249124
Kurtosis388.3772834
Mean0.2103089758
Median Absolute Deviation (MAD)0
Skewness15.13012604
Sum20066
Variance1.11117104
MonotonicityNot monotonic
2022-11-23T02:49:36.189068image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram with fixed size bins (bins=34)
ValueCountFrequency (%)
085105
89.2%
17025
 
7.4%
21590
 
1.7%
3594
 
0.6%
4366
 
0.4%
5201
 
0.2%
6111
 
0.1%
792
 
0.1%
872
 
0.1%
952
 
0.1%
Other values (24)204
 
0.2%
ValueCountFrequency (%)
085105
89.2%
17025
 
7.4%
21590
 
1.7%
3594
 
0.6%
4366
 
0.4%
ValueCountFrequency (%)
472
< 0.1%
452
< 0.1%
392
< 0.1%
371
< 0.1%
341
< 0.1%

ETH12
Real number (ℝ≥0)

SKEWED
ZEROS

Distinct43
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.0683876242
Minimum0
Maximum72
Zeros94160
Zeros (%)98.7%
Negative0
Negative (%)0.0%
Memory size745.5 KiB
2022-11-23T02:49:36.252972image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum72
Range72
Interquartile range (IQR)0

Descriptive statistics

Standard deviation1.169671428
Coefficient of variation (CV)17.10355407
Kurtosis1249.73021
Mean0.0683876242
Median Absolute Deviation (MAD)0
Skewness30.65627538
Sum6525
Variance1.368131251
MonotonicityNot monotonic
2022-11-23T02:49:36.318064image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram with fixed size bins (bins=43)
ValueCountFrequency (%)
094160
98.7%
1811
 
0.8%
645
 
< 0.1%
539
 
< 0.1%
935
 
< 0.1%
1129
 
< 0.1%
829
 
< 0.1%
424
 
< 0.1%
722
 
< 0.1%
219
 
< 0.1%
Other values (33)199
 
0.2%
ValueCountFrequency (%)
094160
98.7%
1811
 
0.8%
219
 
< 0.1%
310
 
< 0.1%
424
 
< 0.1%
ValueCountFrequency (%)
721
 
< 0.1%
665
< 0.1%
541
 
< 0.1%
522
 
< 0.1%
512
 
< 0.1%

ETH13
Real number (ℝ≥0)

ZEROS

Distinct98
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean5.138169203
Minimum0
Maximum97
Zeros34032
Zeros (%)35.7%
Negative0
Negative (%)0.0%
Memory size745.5 KiB
2022-11-23T02:49:36.391048image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median1
Q34
95-th percentile25
Maximum97
Range97
Interquartile range (IQR)4

Descriptive statistics

Standard deviation11.3335343
Coefficient of variation (CV)2.205753422
Kurtosis20.38316943
Mean5.138169203
Median Absolute Deviation (MAD)1
Skewness4.129209667
Sum490243
Variance128.4489998
MonotonicityNot monotonic
2022-11-23T02:49:36.462613image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
034032
35.7%
120591
21.6%
28336
 
8.7%
35230
 
5.5%
43765
 
3.9%
52889
 
3.0%
62229
 
2.3%
71891
 
2.0%
81541
 
1.6%
91267
 
1.3%
Other values (88)13641
14.3%
ValueCountFrequency (%)
034032
35.7%
120591
21.6%
28336
 
8.7%
35230
 
5.5%
43765
 
3.9%
ValueCountFrequency (%)
971
 
< 0.1%
961
 
< 0.1%
958
< 0.1%
9413
< 0.1%
9312
< 0.1%

ETH14
Real number (ℝ≥0)

ZEROS

Distinct45
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.3024776758
Minimum0
Maximum57
Zeros79619
Zeros (%)83.4%
Negative0
Negative (%)0.0%
Memory size745.5 KiB
2022-11-23T02:49:36.599622image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile1
Maximum57
Range57
Interquartile range (IQR)0

Descriptive statistics

Standard deviation1.292820479
Coefficient of variation (CV)4.274102132
Kurtosis428.6515749
Mean0.3024776758
Median Absolute Deviation (MAD)0
Skewness16.19536069
Sum28860
Variance1.671384791
MonotonicityNot monotonic
2022-11-23T02:49:36.662542image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram with fixed size bins (bins=45)
ValueCountFrequency (%)
079619
83.4%
111537
 
12.1%
21898
 
2.0%
3860
 
0.9%
4519
 
0.5%
5330
 
0.3%
6185
 
0.2%
798
 
0.1%
966
 
0.1%
865
 
0.1%
Other values (35)235
 
0.2%
ValueCountFrequency (%)
079619
83.4%
111537
 
12.1%
21898
 
2.0%
3860
 
0.9%
4519
 
0.5%
ValueCountFrequency (%)
571
< 0.1%
501
< 0.1%
491
< 0.1%
481
< 0.1%
471
< 0.1%

ETH15
Real number (ℝ≥0)

ZEROS

Distinct78
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.3274326081
Minimum0
Maximum81
Zeros87781
Zeros (%)92.0%
Negative0
Negative (%)0.0%
Memory size745.5 KiB
2022-11-23T02:49:36.733382image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile1
Maximum81
Range81
Interquartile range (IQR)0

Descriptive statistics

Standard deviation3.208649912
Coefficient of variation (CV)9.799420806
Kurtosis321.3204927
Mean0.3274326081
Median Absolute Deviation (MAD)0
Skewness17.00233734
Sum31241
Variance10.29543426
MonotonicityNot monotonic
2022-11-23T02:49:36.804176image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
087781
92.0%
15360
 
5.6%
2851
 
0.9%
3257
 
0.3%
4218
 
0.2%
5117
 
0.1%
697
 
0.1%
768
 
0.1%
852
 
0.1%
1335
 
< 0.1%
Other values (68)576
 
0.6%
ValueCountFrequency (%)
087781
92.0%
15360
 
5.6%
2851
 
0.9%
3257
 
0.3%
4218
 
0.2%
ValueCountFrequency (%)
811
 
< 0.1%
782
 
< 0.1%
777
< 0.1%
764
< 0.1%
755
< 0.1%

ETH16
Real number (ℝ≥0)

ZEROS

Distinct66
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1.51361464
Minimum0
Maximum86
Zeros42870
Zeros (%)44.9%
Negative0
Negative (%)0.0%
Memory size745.5 KiB
2022-11-23T02:49:36.879836image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median1
Q32
95-th percentile6
Maximum86
Range86
Interquartile range (IQR)2

Descriptive statistics

Standard deviation3.36528513
Coefficient of variation (CV)2.223343407
Kurtosis87.93999178
Mean1.51361464
Median Absolute Deviation (MAD)1
Skewness7.490445114
Sum144417
Variance11.325144
MonotonicityNot monotonic
2022-11-23T02:49:36.948884image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
042870
44.9%
126130
27.4%
211005
 
11.5%
35803
 
6.1%
43147
 
3.3%
51684
 
1.8%
61123
 
1.2%
7717
 
0.8%
8480
 
0.5%
9354
 
0.4%
Other values (56)2099
 
2.2%
ValueCountFrequency (%)
042870
44.9%
126130
27.4%
211005
 
11.5%
35803
 
6.1%
43147
 
3.3%
ValueCountFrequency (%)
863
< 0.1%
731
 
< 0.1%
702
< 0.1%
681
 
< 0.1%
631
 
< 0.1%

AGE901
Real number (ℝ≥0)

Distinct74
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean34.47527565
Minimum0
Maximum84
Zeros799
Zeros (%)0.8%
Negative0
Negative (%)0.0%
Memory size745.5 KiB
2022-11-23T02:49:37.021720image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile26
Q130
median33
Q337
95-th percentile49
Maximum84
Range84
Interquartile range (IQR)7

Descriptive statistics

Standard deviation8.335617528
Coefficient of variation (CV)0.2417853773
Kurtosis6.716924035
Mean34.47527565
Median Absolute Deviation (MAD)3
Skewness1.148389022
Sum3289355
Variance69.48251958
MonotonicityNot monotonic
2022-11-23T02:49:37.091383image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
338125
 
8.5%
327979
 
8.4%
317682
 
8.1%
347275
 
7.6%
306713
 
7.0%
356618
 
6.9%
295535
 
5.8%
365259
 
5.5%
374572
 
4.8%
284282
 
4.5%
Other values (64)31372
32.9%
ValueCountFrequency (%)
0799
0.8%
84
 
< 0.1%
121
 
< 0.1%
132
 
< 0.1%
146
 
< 0.1%
ValueCountFrequency (%)
841
 
< 0.1%
831
 
< 0.1%
811
 
< 0.1%
8011
< 0.1%
799
< 0.1%

AGE902
Real number (ℝ≥0)

Distinct67
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean41.91132143
Minimum0
Maximum84
Zeros799
Zeros (%)0.8%
Negative0
Negative (%)0.0%
Memory size745.5 KiB
2022-11-23T02:49:37.164618image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile32
Q138
median41
Q345
95-th percentile57
Maximum84
Range84
Interquartile range (IQR)7

Descriptive statistics

Standard deviation8.249670639
Coefficient of variation (CV)0.1968363287
Kurtosis6.658485816
Mean41.91132143
Median Absolute Deviation (MAD)4
Skewness-0.1010091479
Sum3998843
Variance68.05706565
MonotonicityNot monotonic
2022-11-23T02:49:37.233568image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
417710
 
8.1%
427599
 
8.0%
407354
 
7.7%
436739
 
7.1%
396642
 
7.0%
386157
 
6.5%
445359
 
5.6%
375165
 
5.4%
364108
 
4.3%
454088
 
4.3%
Other values (57)34491
36.1%
ValueCountFrequency (%)
0799
0.8%
1935
 
< 0.1%
2058
 
0.1%
2170
 
0.1%
2269
 
0.1%
ValueCountFrequency (%)
841
 
< 0.1%
831
 
< 0.1%
822
 
< 0.1%
814
< 0.1%
808
< 0.1%

AGE903
Real number (ℝ≥0)

Distinct59
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean45.10864461
Minimum0
Maximum84
Zeros799
Zeros (%)0.8%
Negative0
Negative (%)0.0%
Memory size745.5 KiB
2022-11-23T02:49:37.306225image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile36
Q141
median44
Q348
95-th percentile59
Maximum84
Range84
Interquartile range (IQR)7

Descriptive statistics

Standard deviation8.10910303
Coefficient of variation (CV)0.1797682706
Kurtosis8.176858919
Mean45.10864461
Median Absolute Deviation (MAD)4
Skewness-0.5684390055
Sum4303906
Variance65.75755196
MonotonicityNot monotonic
2022-11-23T02:49:37.375341image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
437870
 
8.2%
447389
 
7.7%
426987
 
7.3%
456516
 
6.8%
465922
 
6.2%
415696
 
6.0%
475551
 
5.8%
404853
 
5.1%
484730
 
5.0%
394068
 
4.3%
Other values (49)35830
37.6%
ValueCountFrequency (%)
0799
0.8%
276
 
< 0.1%
2822
 
< 0.1%
2966
 
0.1%
3092
 
0.1%
ValueCountFrequency (%)
841
 
< 0.1%
831
 
< 0.1%
824
 
< 0.1%
814
 
< 0.1%
8012
< 0.1%

AGE904
Real number (ℝ≥0)

Distinct66
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean35.91737937
Minimum0
Maximum84
Zeros799
Zeros (%)0.8%
Negative0
Negative (%)0.0%
Memory size745.5 KiB
2022-11-23T02:49:37.448053image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile28
Q132
median35
Q339
95-th percentile47
Maximum84
Range84
Interquartile range (IQR)7

Descriptive statistics

Standard deviation7.26121465
Coefficient of variation (CV)0.2021643778
Kurtosis7.9836396
Mean35.91737937
Median Absolute Deviation (MAD)3
Skewness0.3155837844
Sum3426949
Variance52.7252382
MonotonicityNot monotonic
2022-11-23T02:49:37.518085image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
358006
 
8.4%
347975
 
8.4%
367655
 
8.0%
337312
 
7.7%
376762
 
7.1%
326337
 
6.6%
385953
 
6.2%
315313
 
5.6%
394938
 
5.2%
304173
 
4.4%
Other values (56)30988
32.5%
ValueCountFrequency (%)
0799
0.8%
121
 
< 0.1%
133
 
< 0.1%
172
 
< 0.1%
183
 
< 0.1%
ValueCountFrequency (%)
841
 
< 0.1%
811
 
< 0.1%
781
 
< 0.1%
7623
 
< 0.1%
7559
0.1%

AGE905
Real number (ℝ≥0)

Distinct62
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean44.69423133
Minimum0
Maximum84
Zeros799
Zeros (%)0.8%
Negative0
Negative (%)0.0%
Memory size745.5 KiB
2022-11-23T02:49:37.659493image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile37
Q142
median45
Q348
95-th percentile54
Maximum84
Range84
Interquartile range (IQR)6

Descriptive statistics

Standard deviation6.960006029
Coefficient of variation (CV)0.1557249296
Kurtosis14.17962985
Mean44.69423133
Median Absolute Deviation (MAD)3
Skewness-1.591676375
Sum4264366
Variance48.44168392
MonotonicityNot monotonic
2022-11-23T02:49:37.729195image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
448616
 
9.0%
458449
 
8.9%
438009
 
8.4%
467861
 
8.2%
427069
 
7.4%
476697
 
7.0%
485718
 
6.0%
415654
 
5.9%
404859
 
5.1%
494509
 
4.7%
Other values (52)27971
29.3%
ValueCountFrequency (%)
0799
0.8%
191
 
< 0.1%
206
 
< 0.1%
217
 
< 0.1%
2214
 
< 0.1%
ValueCountFrequency (%)
841
 
< 0.1%
811
 
< 0.1%
781
 
< 0.1%
7632
< 0.1%
7559
0.1%

AGE906
Real number (ℝ≥0)

Distinct55
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean47.88943739
Minimum0
Maximum84
Zeros799
Zeros (%)0.8%
Negative0
Negative (%)0.0%
Memory size745.5 KiB
2022-11-23T02:49:37.802531image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile40
Q145
median48
Q351
95-th percentile57
Maximum84
Range84
Interquartile range (IQR)6

Descriptive statistics

Standard deviation6.882697588
Coefficient of variation (CV)0.1437205773
Kurtosis18.75926963
Mean47.88943739
Median Absolute Deviation (MAD)3
Skewness-2.329262569
Sum4569227
Variance47.37152608
MonotonicityNot monotonic
2022-11-23T02:49:37.872239image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
488694
 
9.1%
478613
 
9.0%
498263
 
8.7%
467847
 
8.2%
507536
 
7.9%
456535
 
6.8%
516330
 
6.6%
445279
 
5.5%
525188
 
5.4%
434319
 
4.5%
Other values (45)26808
28.1%
ValueCountFrequency (%)
0799
0.8%
272
 
< 0.1%
283
 
< 0.1%
292
 
< 0.1%
308
 
< 0.1%
ValueCountFrequency (%)
841
 
< 0.1%
811
 
< 0.1%
781
 
< 0.1%
771
 
< 0.1%
7641
< 0.1%

AGE907
Real number (ℝ≥0)

ZEROS

Distinct64
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean24.51509244
Minimum0
Maximum75
Zeros1257
Zeros (%)1.3%
Negative0
Negative (%)0.0%
Memory size745.5 KiB
2022-11-23T02:49:37.944509image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile10
Q121
median26
Q329
95-th percentile35
Maximum75
Range75
Interquartile range (IQR)8

Descriptive statistics

Standard deviation7.515298157
Coefficient of variation (CV)0.3065580183
Kurtosis1.397065467
Mean24.51509244
Median Absolute Deviation (MAD)4
Skewness-0.7778959042
Sum2339034
Variance56.4797064
MonotonicityNot monotonic
2022-11-23T02:49:38.014534image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
276763
 
7.1%
266758
 
7.1%
286278
 
6.6%
256135
 
6.4%
295841
 
6.1%
245534
 
5.8%
305046
 
5.3%
234850
 
5.1%
224329
 
4.5%
314222
 
4.4%
Other values (54)39656
41.6%
ValueCountFrequency (%)
01257
1.3%
1225
 
0.2%
2199
 
0.2%
3243
 
0.3%
4280
 
0.3%
ValueCountFrequency (%)
751
 
< 0.1%
713
< 0.1%
671
 
< 0.1%
632
< 0.1%
621
 
< 0.1%

CHIL1
Real number (ℝ≥0)

ZEROS

Distinct85
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean39.59274515
Minimum0
Maximum99
Zeros1149
Zeros (%)1.2%
Negative0
Negative (%)0.0%
Memory size745.5 KiB
2022-11-23T02:49:38.090658image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile29
Q135
median39
Q344
95-th percentile52
Maximum99
Range99
Interquartile range (IQR)9

Descriptive statistics

Standard deviation8.232251621
Coefficient of variation (CV)0.2079232342
Kurtosis7.406035747
Mean39.59274515
Median Absolute Deviation (MAD)4
Skewness-0.6623435019
Sum3777623
Variance67.76996676
MonotonicityNot monotonic
2022-11-23T02:49:38.163063image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
386899
 
7.2%
396466
 
6.8%
376387
 
6.7%
366083
 
6.4%
405822
 
6.1%
415285
 
5.5%
355122
 
5.4%
424766
 
5.0%
434445
 
4.7%
344187
 
4.4%
Other values (75)39950
41.9%
ValueCountFrequency (%)
01149
1.2%
21
 
< 0.1%
42
 
< 0.1%
73
 
< 0.1%
82
 
< 0.1%
ValueCountFrequency (%)
9956
0.1%
911
 
< 0.1%
901
 
< 0.1%
891
 
< 0.1%
882
 
< 0.1%

CHIL2
Real number (ℝ≥0)

ZEROS

Distinct70
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean38.35763845
Minimum0
Maximum99
Zeros1189
Zeros (%)1.2%
Negative0
Negative (%)0.0%
Memory size745.5 KiB
2022-11-23T02:49:38.237154image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile30
Q136
median39
Q342
95-th percentile45
Maximum99
Range99
Interquartile range (IQR)6

Descriptive statistics

Standard deviation6.380545213
Coefficient of variation (CV)0.166343536
Kurtosis17.56715042
Mean38.35763845
Median Absolute Deviation (MAD)3
Skewness-2.610664407
Sum3659779
Variance40.71135721
MonotonicityNot monotonic
2022-11-23T02:49:38.310412image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
4010181
10.7%
399871
10.3%
419744
10.2%
388837
9.3%
427654
 
8.0%
377144
 
7.5%
365845
 
6.1%
435747
 
6.0%
354458
 
4.7%
444063
 
4.3%
Other values (60)21868
22.9%
ValueCountFrequency (%)
01189
1.2%
46
 
< 0.1%
51
 
< 0.1%
67
 
< 0.1%
75
 
< 0.1%
ValueCountFrequency (%)
9929
< 0.1%
805
 
< 0.1%
754
 
< 0.1%
711
 
< 0.1%
691
 
< 0.1%

CHIL3
Real number (ℝ≥0)

ZEROS

Distinct82
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean21.01471513
Minimum0
Maximum99
Zeros1156
Zeros (%)1.2%
Negative0
Negative (%)0.0%
Memory size745.5 KiB
2022-11-23T02:49:38.386331image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile13
Q118
median21
Q324
95-th percentile29
Maximum99
Range99
Interquartile range (IQR)6

Descriptive statistics

Standard deviation5.827231145
Coefficient of variation (CV)0.2772928926
Kurtosis34.72742984
Mean21.01471513
Median Absolute Deviation (MAD)3
Skewness2.481876978
Sum2005056
Variance33.95662282
MonotonicityNot monotonic
2022-11-23T02:49:38.462652image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
219581
10.0%
229515
10.0%
208887
 
9.3%
238398
 
8.8%
197789
 
8.2%
246823
 
7.2%
186735
 
7.1%
255206
 
5.5%
175194
 
5.4%
164019
 
4.2%
Other values (72)23265
24.4%
ValueCountFrequency (%)
01156
1.2%
23
 
< 0.1%
37
 
< 0.1%
416
 
< 0.1%
537
 
< 0.1%
ValueCountFrequency (%)
9982
0.1%
941
 
< 0.1%
891
 
< 0.1%
881
 
< 0.1%
861
 
< 0.1%

AGEC1
Real number (ℝ≥0)

ZEROS

Distinct98
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean12.19687251
Minimum0
Maximum99
Zeros1161
Zeros (%)1.2%
Negative0
Negative (%)0.0%
Memory size745.5 KiB
2022-11-23T02:49:38.540421image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile5
Q19
median11
Q314
95-th percentile21
Maximum99
Range99
Interquartile range (IQR)5

Descriptive statistics

Standard deviation6.068227467
Coefficient of variation (CV)0.4975232348
Kurtosis31.12493019
Mean12.19687251
Median Absolute Deviation (MAD)2
Skewness3.762318677
Sum1163728
Variance36.82338459
MonotonicityNot monotonic
2022-11-23T02:49:38.616677image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1110457
11.0%
1210058
10.5%
109991
10.5%
139025
9.5%
98247
8.6%
147075
 
7.4%
86541
 
6.9%
155205
 
5.5%
74594
 
4.8%
163706
 
3.9%
Other values (88)20513
21.5%
ValueCountFrequency (%)
01161
1.2%
1285
 
0.3%
2365
 
0.4%
3536
0.6%
4869
0.9%
ValueCountFrequency (%)
991
 
< 0.1%
973
< 0.1%
961
 
< 0.1%
942
< 0.1%
933
< 0.1%

AGEC2
Real number (ℝ≥0)

ZEROS

Distinct74
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean22.18981889
Minimum0
Maximum99
Zeros1007
Zeros (%)1.1%
Negative0
Negative (%)0.0%
Memory size745.5 KiB
2022-11-23T02:49:38.769797image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile10
Q118
median22
Q326
95-th percentile36
Maximum99
Range99
Interquartile range (IQR)8

Descriptive statistics

Standard deviation7.787776025
Coefficient of variation (CV)0.3509616758
Kurtosis2.335906264
Mean22.18981889
Median Absolute Deviation (MAD)4
Skewness0.4198349831
Sum2117175
Variance60.64945541
MonotonicityNot monotonic
2022-11-23T02:49:38.846400image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
206730
 
7.1%
226390
 
6.7%
216388
 
6.7%
195926
 
6.2%
235526
 
5.8%
185037
 
5.3%
244993
 
5.2%
254551
 
4.8%
174209
 
4.4%
263923
 
4.1%
Other values (64)41739
43.7%
ValueCountFrequency (%)
01007
1.1%
1243
 
0.3%
2119
 
0.1%
3105
 
0.1%
4203
 
0.2%
ValueCountFrequency (%)
998
< 0.1%
881
 
< 0.1%
802
 
< 0.1%
751
 
< 0.1%
702
 
< 0.1%

AGEC3
Real number (ℝ≥0)

Distinct57
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean20.65297866
Minimum0
Maximum99
Zeros911
Zeros (%)1.0%
Negative0
Negative (%)0.0%
Memory size745.5 KiB
2022-11-23T02:49:38.923770image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile12
Q117
median20
Q324
95-th percentile31
Maximum99
Range99
Interquartile range (IQR)7

Descriptive statistics

Standard deviation6.211045291
Coefficient of variation (CV)0.3007336323
Kurtosis2.787252016
Mean20.65297866
Median Absolute Deviation (MAD)3
Skewness0.1258963705
Sum1970542
Variance38.5770836
MonotonicityNot monotonic
2022-11-23T02:49:38.997201image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
198756
 
9.2%
208649
 
9.1%
217887
 
8.3%
187634
 
8.0%
226623
 
6.9%
176240
 
6.5%
235748
 
6.0%
164902
 
5.1%
244755
 
5.0%
253800
 
4.0%
Other values (47)30418
31.9%
ValueCountFrequency (%)
0911
1.0%
1314
 
0.3%
2158
 
0.2%
3120
 
0.1%
4140
 
0.1%
ValueCountFrequency (%)
993
< 0.1%
633
< 0.1%
601
 
< 0.1%
582
< 0.1%
531
 
< 0.1%

AGEC4
Real number (ℝ≥0)

Distinct43
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean14.05778099
Minimum0
Maximum99
Zeros874
Zeros (%)0.9%
Negative0
Negative (%)0.0%
Memory size745.5 KiB
2022-11-23T02:49:39.069369image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile8
Q112
median14
Q316
95-th percentile21
Maximum99
Range99
Interquartile range (IQR)4

Descriptive statistics

Standard deviation4.316342493
Coefficient of variation (CV)0.3070429462
Kurtosis4.792244928
Mean14.05778099
Median Absolute Deviation (MAD)2
Skewness0.250225115
Sum1341281
Variance18.63081252
MonotonicityNot monotonic
2022-11-23T02:49:39.137252image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram with fixed size bins (bins=43)
ValueCountFrequency (%)
1410845
11.4%
1510349
10.8%
1310294
10.8%
128696
9.1%
168629
9.0%
117498
 
7.9%
176350
 
6.7%
105467
 
5.7%
184478
 
4.7%
93675
 
3.9%
Other values (33)19131
20.1%
ValueCountFrequency (%)
0874
0.9%
1242
 
0.3%
2228
 
0.2%
3226
 
0.2%
4309
 
0.3%
ValueCountFrequency (%)
992
< 0.1%
504
< 0.1%
423
< 0.1%
411
 
< 0.1%
401
 
< 0.1%

AGEC5
Real number (ℝ≥0)

ZEROS

Distinct43
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean11.85778518
Minimum0
Maximum99
Zeros968
Zeros (%)1.0%
Negative0
Negative (%)0.0%
Memory size745.5 KiB
2022-11-23T02:49:39.206590image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile5
Q19
median12
Q314
95-th percentile19
Maximum99
Range99
Interquartile range (IQR)5

Descriptive statistics

Standard deviation4.14550886
Coefficient of variation (CV)0.3496022904
Kurtosis5.693407018
Mean11.85778518
Median Absolute Deviation (MAD)2
Skewness0.4897782493
Sum1131375
Variance17.18524371
MonotonicityNot monotonic
2022-11-23T02:49:39.273153image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram with fixed size bins (bins=43)
ValueCountFrequency (%)
1211403
12.0%
1310702
11.2%
1110059
10.5%
108502
8.9%
148501
8.9%
97111
 
7.5%
156094
 
6.4%
85680
 
6.0%
164529
 
4.7%
74178
 
4.4%
Other values (33)18653
19.5%
ValueCountFrequency (%)
0968
1.0%
1139
 
0.1%
2230
 
0.2%
3630
0.7%
41196
1.3%
ValueCountFrequency (%)
992
 
< 0.1%
501
 
< 0.1%
402
 
< 0.1%
396
< 0.1%
385
< 0.1%

AGEC6
Real number (ℝ≥0)

ZEROS

Distinct63
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean10.54327548
Minimum0
Maximum99
Zeros1061
Zeros (%)1.1%
Negative0
Negative (%)0.0%
Memory size745.5 KiB
2022-11-23T02:49:39.343542image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile3
Q17
median10
Q313
95-th percentile21
Maximum99
Range99
Interquartile range (IQR)6

Descriptive statistics

Standard deviation6.00384556
Coefficient of variation (CV)0.5694478506
Kurtosis8.125057071
Mean10.54327548
Median Absolute Deviation (MAD)3
Skewness1.922113258
Sum1005955
Variance36.04616151
MonotonicityNot monotonic
2022-11-23T02:49:39.416811image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
108337
 
8.7%
98175
 
8.6%
117862
 
8.2%
87681
 
8.1%
77099
 
7.4%
126911
 
7.2%
66374
 
6.7%
135972
 
6.3%
55123
 
5.4%
144638
 
4.9%
Other values (53)27240
28.5%
ValueCountFrequency (%)
01061
 
1.1%
1636
 
0.7%
21742
1.8%
33084
3.2%
44125
4.3%
ValueCountFrequency (%)
992
 
< 0.1%
612
 
< 0.1%
603
< 0.1%
595
< 0.1%
581
 
< 0.1%

AGEC7
Real number (ℝ≥0)

ZEROS

Distinct77
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean7.667966294
Minimum0
Maximum99
Zeros1745
Zeros (%)1.8%
Negative0
Negative (%)0.0%
Memory size745.5 KiB
2022-11-23T02:49:39.491436image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile1
Q13
median6
Q310
95-th percentile19
Maximum99
Range99
Interquartile range (IQR)7

Descriptive statistics

Standard deviation6.723718055
Coefficient of variation (CV)0.8768580609
Kurtosis14.29759768
Mean7.667966294
Median Absolute Deviation (MAD)3
Skewness2.892776079
Sum731616
Variance45.20838449
MonotonicityNot monotonic
2022-11-23T02:49:39.563786image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
39300
9.7%
49250
9.7%
58742
 
9.2%
28334
 
8.7%
68124
 
8.5%
77435
 
7.8%
86340
 
6.6%
95396
 
5.7%
15338
 
5.6%
104541
 
4.8%
Other values (67)22612
23.7%
ValueCountFrequency (%)
01745
 
1.8%
15338
5.6%
28334
8.7%
39300
9.7%
49250
9.7%
ValueCountFrequency (%)
991
 
< 0.1%
901
 
< 0.1%
781
 
< 0.1%
771
 
< 0.1%
744
< 0.1%

CHILC1
Real number (ℝ≥0)

ZEROS

Distinct62
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean16.17565925
Minimum0
Maximum99
Zeros1268
Zeros (%)1.3%
Negative0
Negative (%)0.0%
Memory size745.5 KiB
2022-11-23T02:49:39.637922image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile10
Q113
median16
Q319
95-th percentile24
Maximum99
Range99
Interquartile range (IQR)6

Descriptive statistics

Standard deviation5.120884084
Coefficient of variation (CV)0.3165796217
Kurtosis26.39240754
Mean16.17565925
Median Absolute Deviation (MAD)3
Skewness2.015338305
Sum1543352
Variance26.22345381
MonotonicityNot monotonic
2022-11-23T02:49:39.708449image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1511255
11.8%
1410762
11.3%
169505
10.0%
138740
9.2%
177826
 
8.2%
186828
 
7.2%
125884
 
6.2%
195344
 
5.6%
204550
 
4.8%
114003
 
4.2%
Other values (52)20715
21.7%
ValueCountFrequency (%)
01268
1.3%
110
 
< 0.1%
213
 
< 0.1%
322
 
< 0.1%
455
 
0.1%
ValueCountFrequency (%)
9931
< 0.1%
751
 
< 0.1%
721
 
< 0.1%
692
 
< 0.1%
675
 
< 0.1%

CHILC2
Real number (ℝ≥0)

ZEROS

Distinct46
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean16.13942691
Minimum0
Maximum99
Zeros1322
Zeros (%)1.4%
Negative0
Negative (%)0.0%
Memory size745.5 KiB
2022-11-23T02:49:39.847860image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile11
Q114
median16
Q318
95-th percentile21
Maximum99
Range99
Interquartile range (IQR)4

Descriptive statistics

Standard deviation3.696609997
Coefficient of variation (CV)0.2290422094
Kurtosis36.88448221
Mean16.13942691
Median Absolute Deviation (MAD)2
Skewness0.687357582
Sum1539895
Variance13.66492547
MonotonicityNot monotonic
2022-11-23T02:49:39.917383image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram with fixed size bins (bins=46)
ValueCountFrequency (%)
1614980
15.7%
1513466
14.1%
1713037
13.7%
1810116
10.6%
149379
9.8%
197401
7.8%
136198
6.5%
204827
 
5.1%
123349
 
3.5%
213188
 
3.3%
Other values (36)9471
9.9%
ValueCountFrequency (%)
01322
1.4%
111
 
< 0.1%
221
 
< 0.1%
321
 
< 0.1%
440
 
< 0.1%
ValueCountFrequency (%)
9911
< 0.1%
801
 
< 0.1%
673
 
< 0.1%
603
 
< 0.1%
507
< 0.1%

CHILC3
Real number (ℝ≥0)

ZEROS

Distinct62
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean31.63464763
Minimum0
Maximum99
Zeros1225
Zeros (%)1.3%
Negative0
Negative (%)0.0%
Memory size745.5 KiB
2022-11-23T02:49:39.989632image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile25
Q130
median32
Q334
95-th percentile38
Maximum99
Range99
Interquartile range (IQR)4

Descriptive statistics

Standard deviation5.384071071
Coefficient of variation (CV)0.1701953862
Kurtosis17.71713314
Mean31.63464763
Median Absolute Deviation (MAD)2
Skewness-2.621988272
Sum3018325
Variance28.98822129
MonotonicityNot monotonic
2022-11-23T02:49:40.061157image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
3312455
13.1%
3212272
12.9%
3410709
11.2%
3110339
10.8%
358373
8.8%
307811
8.2%
295563
 
5.8%
365432
 
5.7%
283973
 
4.2%
373391
 
3.6%
Other values (52)15094
15.8%
ValueCountFrequency (%)
01225
1.3%
18
 
< 0.1%
212
 
< 0.1%
36
 
< 0.1%
415
 
< 0.1%
ValueCountFrequency (%)
9911
< 0.1%
801
 
< 0.1%
679
< 0.1%
632
 
< 0.1%
603
 
< 0.1%

CHILC4
Real number (ℝ≥0)

ZEROS

Distinct56
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean19.75417138
Minimum0
Maximum99
Zeros1317
Zeros (%)1.4%
Negative0
Negative (%)0.0%
Memory size745.5 KiB
2022-11-23T02:49:40.133712image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile13
Q118
median20
Q322
95-th percentile26
Maximum99
Range99
Interquartile range (IQR)4

Descriptive statistics

Standard deviation4.562135825
Coefficient of variation (CV)0.2309454412
Kurtosis18.93595808
Mean19.75417138
Median Absolute Deviation (MAD)2
Skewness-0.1101987841
Sum1884785
Variance20.81308329
MonotonicityNot monotonic
2022-11-23T02:49:40.204294image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
2111518
12.1%
2011228
11.8%
2210077
10.6%
1910002
10.5%
188015
8.4%
237762
8.1%
176587
 
6.9%
245261
 
5.5%
164914
 
5.2%
253495
 
3.7%
Other values (46)16553
17.3%
ValueCountFrequency (%)
01317
1.4%
111
 
< 0.1%
221
 
< 0.1%
318
 
< 0.1%
444
 
< 0.1%
ValueCountFrequency (%)
9914
< 0.1%
751
 
< 0.1%
672
 
< 0.1%
611
 
< 0.1%
602
 
< 0.1%

CHILC5
Real number (ℝ≥0)

ZEROS

Distinct97
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean15.25685448
Minimum0
Maximum99
Zeros1075
Zeros (%)1.1%
Negative0
Negative (%)0.0%
Memory size745.5 KiB
2022-11-23T02:49:40.275993image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile9
Q113
median15
Q317
95-th percentile22
Maximum99
Range99
Interquartile range (IQR)4

Descriptive statistics

Standard deviation5.642517957
Coefficient of variation (CV)0.3698349462
Kurtosis65.65528246
Mean15.25685448
Median Absolute Deviation (MAD)2
Skewness5.436748742
Sum1455687
Variance31.8380089
MonotonicityNot monotonic
2022-11-23T02:49:40.347185image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1512207
12.8%
1411813
12.4%
1611264
11.8%
139905
10.4%
178668
9.1%
127287
7.6%
186438
6.7%
115195
 
5.4%
194477
 
4.7%
103205
 
3.4%
Other values (87)14953
15.7%
ValueCountFrequency (%)
01075
1.1%
178
 
0.1%
213
 
< 0.1%
329
 
< 0.1%
465
 
0.1%
ValueCountFrequency (%)
9970
0.1%
981
 
< 0.1%
974
 
< 0.1%
951
 
< 0.1%
934
 
< 0.1%

HHAGE1
Real number (ℝ≥0)

Distinct99
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean24.60328889
Minimum0
Maximum99
Zeros926
Zeros (%)1.0%
Negative0
Negative (%)0.0%
Memory size745.5 KiB
2022-11-23T02:49:40.419772image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile7
Q116
median23
Q331
95-th percentile46
Maximum99
Range99
Interquartile range (IQR)15

Descriptive statistics

Standard deviation13.09031768
Coefficient of variation (CV)0.5320556017
Kurtosis3.604729569
Mean24.60328889
Median Absolute Deviation (MAD)8
Skewness1.257331067
Sum2347449
Variance171.3564168
MonotonicityNot monotonic
2022-11-23T02:49:40.492214image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
213390
 
3.6%
233300
 
3.5%
243298
 
3.5%
223287
 
3.4%
263262
 
3.4%
193210
 
3.4%
253192
 
3.3%
203172
 
3.3%
273137
 
3.3%
183091
 
3.2%
Other values (89)63073
66.1%
ValueCountFrequency (%)
0926
1.0%
1162
 
0.2%
2230
 
0.2%
3417
0.4%
4754
0.8%
ValueCountFrequency (%)
9912
 
< 0.1%
982
 
< 0.1%
965
 
< 0.1%
9533
< 0.1%
9438
< 0.1%

HHAGE2
Real number (ℝ≥0)

ZEROS

Distinct85
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean9.37184002
Minimum0
Maximum99
Zeros2063
Zeros (%)2.2%
Negative0
Negative (%)0.0%
Memory size745.5 KiB
2022-11-23T02:49:40.565789image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile1
Q14
median8
Q312
95-th percentile22
Maximum99
Range99
Interquartile range (IQR)8

Descriptive statistics

Standard deviation7.441509677
Coefficient of variation (CV)0.7940286712
Kurtosis10.75081213
Mean9.37184002
Median Absolute Deviation (MAD)4
Skewness2.318378695
Sum894186
Variance55.37606628
MonotonicityNot monotonic
2022-11-23T02:49:40.638408image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
56799
 
7.1%
66681
 
7.0%
46603
 
6.9%
76499
 
6.8%
86218
 
6.5%
36092
 
6.4%
95775
 
6.1%
25589
 
5.9%
105372
 
5.6%
114904
 
5.1%
Other values (75)34880
36.6%
ValueCountFrequency (%)
02063
 
2.2%
14640
4.9%
25589
5.9%
36092
6.4%
46603
6.9%
ValueCountFrequency (%)
996
< 0.1%
912
 
< 0.1%
891
 
< 0.1%
861
 
< 0.1%
851
 
< 0.1%

HHAGE3
Real number (ℝ≥0)

ZEROS

Distinct99
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean22.30847273
Minimum0
Maximum99
Zeros1031
Zeros (%)1.1%
Negative0
Negative (%)0.0%
Memory size745.5 KiB
2022-11-23T02:49:40.712380image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile5
Q113
median21
Q329
95-th percentile44
Maximum99
Range99
Interquartile range (IQR)16

Descriptive statistics

Standard deviation12.96390342
Coefficient of variation (CV)0.5811201679
Kurtosis3.901411225
Mean22.30847273
Median Absolute Deviation (MAD)8
Skewness1.340854771
Sum2128496
Variance168.0627918
MonotonicityNot monotonic
2022-11-23T02:49:40.784316image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
193349
 
3.5%
213305
 
3.5%
203264
 
3.4%
183256
 
3.4%
223251
 
3.4%
233234
 
3.4%
243177
 
3.3%
173148
 
3.3%
153104
 
3.3%
163089
 
3.2%
Other values (89)63235
66.3%
ValueCountFrequency (%)
01031
1.1%
1272
 
0.3%
2648
0.7%
31056
1.1%
41343
1.4%
ValueCountFrequency (%)
9911
< 0.1%
972
 
< 0.1%
962
 
< 0.1%
957
 
< 0.1%
9424
< 0.1%

HHN1
Real number (ℝ≥0)

Distinct98
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean22.82171006
Minimum0
Maximum99
Zeros871
Zeros (%)0.9%
Negative0
Negative (%)0.0%
Memory size745.5 KiB
2022-11-23T02:49:40.927232image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile8
Q115
median21
Q328
95-th percentile45
Maximum99
Range99
Interquartile range (IQR)13

Descriptive statistics

Standard deviation11.76962136
Coefficient of variation (CV)0.5157203963
Kurtosis3.107615153
Mean22.82171006
Median Absolute Deviation (MAD)7
Skewness1.287455838
Sum2177465
Variance138.5239869
MonotonicityNot monotonic
2022-11-23T02:49:41.000334image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
213997
 
4.2%
173976
 
4.2%
193950
 
4.1%
183947
 
4.1%
223918
 
4.1%
203896
 
4.1%
153729
 
3.9%
243671
 
3.8%
163658
 
3.8%
233555
 
3.7%
Other values (88)57115
59.9%
ValueCountFrequency (%)
0871
0.9%
142
 
< 0.1%
275
 
0.1%
3196
 
0.2%
4393
0.4%
ValueCountFrequency (%)
9920
< 0.1%
961
 
< 0.1%
954
 
< 0.1%
945
 
< 0.1%
935
 
< 0.1%

HHN2
Real number (ℝ≥0)

Distinct85
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean33.63044481
Minimum0
Maximum99
Zeros862
Zeros (%)0.9%
Negative0
Negative (%)0.0%
Memory size745.5 KiB
2022-11-23T02:49:41.075153image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile22
Q129
median33
Q337
95-th percentile47
Maximum99
Range99
Interquartile range (IQR)8

Descriptive statistics

Standard deviation8.232499365
Coefficient of variation (CV)0.2447930562
Kurtosis4.741148124
Mean33.63044481
Median Absolute Deviation (MAD)4
Skewness0.2296878971
Sum3208748
Variance67.7740458
MonotonicityNot monotonic
2022-11-23T02:49:41.147031image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
346877
 
7.2%
336829
 
7.2%
326469
 
6.8%
356327
 
6.6%
315882
 
6.2%
365461
 
5.7%
305102
 
5.3%
374929
 
5.2%
294660
 
4.9%
384119
 
4.3%
Other values (75)38757
40.6%
ValueCountFrequency (%)
0862
0.9%
31
 
< 0.1%
46
 
< 0.1%
59
 
< 0.1%
66
 
< 0.1%
ValueCountFrequency (%)
997
< 0.1%
873
 
< 0.1%
8513
< 0.1%
832
 
< 0.1%
827
< 0.1%

HHN3
Real number (ℝ≥0)

Distinct96
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean42.697428
Minimum0
Maximum99
Zeros903
Zeros (%)0.9%
Negative0
Negative (%)0.0%
Memory size745.5 KiB
2022-11-23T02:49:41.220391image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile16
Q134
median44
Q352
95-th percentile65
Maximum99
Range99
Interquartile range (IQR)18

Descriptive statistics

Standard deviation14.53849982
Coefficient of variation (CV)0.3405005992
Kurtosis0.4583658452
Mean42.697428
Median Absolute Deviation (MAD)9
Skewness-0.4085859198
Sum4073847
Variance211.367977
MonotonicityNot monotonic
2022-11-23T02:49:41.292545image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
453061
 
3.2%
463049
 
3.2%
472983
 
3.1%
432976
 
3.1%
442964
 
3.1%
422873
 
3.0%
492833
 
3.0%
412778
 
2.9%
402767
 
2.9%
482762
 
2.9%
Other values (86)66366
69.6%
ValueCountFrequency (%)
0903
0.9%
1129
 
0.1%
2181
 
0.2%
3187
 
0.2%
4170
 
0.2%
ValueCountFrequency (%)
9915
< 0.1%
941
 
< 0.1%
932
 
< 0.1%
923
 
< 0.1%
912
 
< 0.1%

HHN4
Real number (ℝ≥0)

ZEROS

Distinct86
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean25.61541525
Minimum0
Maximum99
Zeros1365
Zeros (%)1.4%
Negative0
Negative (%)0.0%
Memory size745.5 KiB
2022-11-23T02:49:41.366142image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile7
Q119
median26
Q332
95-th percentile44
Maximum99
Range99
Interquartile range (IQR)13

Descriptive statistics

Standard deviation11.05921771
Coefficient of variation (CV)0.4317407157
Kurtosis0.6928806362
Mean25.61541525
Median Absolute Deviation (MAD)7
Skewness0.2336940358
Sum2444018
Variance122.3062964
MonotonicityNot monotonic
2022-11-23T02:49:41.439283image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
254130
 
4.3%
263994
 
4.2%
273980
 
4.2%
233964
 
4.2%
283885
 
4.1%
243834
 
4.0%
293586
 
3.8%
223375
 
3.5%
303335
 
3.5%
213335
 
3.5%
Other values (76)57994
60.8%
ValueCountFrequency (%)
01365
1.4%
1384
 
0.4%
2448
 
0.5%
3509
 
0.5%
4546
 
0.6%
ValueCountFrequency (%)
997
< 0.1%
931
 
< 0.1%
862
 
< 0.1%
843
< 0.1%
821
 
< 0.1%

HHN5
Real number (ℝ≥0)

ZEROS

Distinct69
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean10.47102042
Minimum0
Maximum99
Zeros2069
Zeros (%)2.2%
Negative0
Negative (%)0.0%
Memory size745.5 KiB
2022-11-23T02:49:41.514333image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile2
Q17
median10
Q313
95-th percentile22
Maximum99
Range99
Interquartile range (IQR)6

Descriptive statistics

Standard deviation6.38276697
Coefficient of variation (CV)0.6095649437
Kurtosis8.391759519
Mean10.47102042
Median Absolute Deviation (MAD)3
Skewness1.849325103
Sum999061
Variance40.7397142
MonotonicityNot monotonic
2022-11-23T02:49:41.587538image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
98221
 
8.6%
108029
 
8.4%
87855
 
8.2%
117475
 
7.8%
76837
 
7.2%
66045
 
6.3%
126023
 
6.3%
135448
 
5.7%
54802
 
5.0%
144261
 
4.5%
Other values (59)30416
31.9%
ValueCountFrequency (%)
02069
2.2%
11623
1.7%
22242
2.3%
32895
3.0%
43915
4.1%
ValueCountFrequency (%)
996
< 0.1%
691
 
< 0.1%
673
< 0.1%
662
 
< 0.1%
651
 
< 0.1%

HHN6
Real number (ℝ≥0)

ZEROS

Distinct53
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3.896459565
Minimum0
Maximum99
Zeros5095
Zeros (%)5.3%
Negative0
Negative (%)0.0%
Memory size745.5 KiB
2022-11-23T02:49:41.662026image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q12
median3
Q35
95-th percentile10
Maximum99
Range99
Interquartile range (IQR)3

Descriptive statistics

Standard deviation3.793017234
Coefficient of variation (CV)0.9734522254
Kurtosis35.51766816
Mean3.896459565
Median Absolute Deviation (MAD)1
Skewness4.011037243
Sum371769
Variance14.38697974
MonotonicityNot monotonic
2022-11-23T02:49:41.735067image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
219536
20.5%
319311
20.2%
413636
14.3%
112538
13.1%
58191
8.6%
05095
 
5.3%
64958
 
5.2%
73131
 
3.3%
81963
 
2.1%
91414
 
1.5%
Other values (43)5639
 
5.9%
ValueCountFrequency (%)
05095
 
5.3%
112538
13.1%
219536
20.5%
319311
20.2%
413636
14.3%
ValueCountFrequency (%)
994
< 0.1%
672
< 0.1%
541
 
< 0.1%
531
 
< 0.1%
511
 
< 0.1%

MARR1
Real number (ℝ≥0)

Distinct95
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean58.10061627
Minimum0
Maximum99
Zeros827
Zeros (%)0.9%
Negative0
Negative (%)0.0%
Memory size745.5 KiB
2022-11-23T02:49:41.809627image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile34
Q152
median61
Q367
95-th percentile74
Maximum99
Range99
Interquartile range (IQR)15

Descriptive statistics

Standard deviation12.96779606
Coefficient of variation (CV)0.2231954993
Kurtosis3.334536146
Mean58.10061627
Median Absolute Deviation (MAD)7
Skewness-1.442737411
Sum5543496
Variance168.1637346
MonotonicityNot monotonic
2022-11-23T02:49:41.882901image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
664254
 
4.5%
654208
 
4.4%
674041
 
4.2%
643984
 
4.2%
633954
 
4.1%
683759
 
3.9%
623602
 
3.8%
613522
 
3.7%
693505
 
3.7%
603325
 
3.5%
Other values (85)57258
60.0%
ValueCountFrequency (%)
0827
0.9%
15
 
< 0.1%
26
 
< 0.1%
39
 
< 0.1%
45
 
< 0.1%
ValueCountFrequency (%)
999
< 0.1%
952
 
< 0.1%
932
 
< 0.1%
913
 
< 0.1%
9017
< 0.1%

MARR2
Real number (ℝ≥0)

Distinct51
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean10.69335094
Minimum0
Maximum99
Zeros846
Zeros (%)0.9%
Negative0
Negative (%)0.0%
Memory size745.5 KiB
2022-11-23T02:49:42.027272image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile4
Q18
median10
Q313
95-th percentile19
Maximum99
Range99
Interquartile range (IQR)5

Descriptive statistics

Standard deviation4.52343419
Coefficient of variation (CV)0.4230137228
Kurtosis9.72462115
Mean10.69335094
Median Absolute Deviation (MAD)3
Skewness1.179303034
Sum1020274
Variance20.46145687
MonotonicityNot monotonic
2022-11-23T02:49:42.100028image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
109866
10.3%
99693
10.2%
89216
9.7%
118762
 
9.2%
77530
 
7.9%
127258
 
7.6%
136194
 
6.5%
65848
 
6.1%
144888
 
5.1%
54138
 
4.3%
Other values (41)22019
23.1%
ValueCountFrequency (%)
0846
 
0.9%
166
 
0.1%
2358
 
0.4%
31159
1.2%
42467
2.6%
ValueCountFrequency (%)
995
< 0.1%
671
 
< 0.1%
571
 
< 0.1%
561
 
< 0.1%
531
 
< 0.1%

MARR3
Real number (ℝ≥0)

ZEROS

Distinct60
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean7.424695007
Minimum0
Maximum73
Zeros1071
Zeros (%)1.1%
Negative0
Negative (%)0.0%
Memory size745.5 KiB
2022-11-23T02:49:42.173019image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile2
Q14
median6
Q39
95-th percentile16
Maximum73
Range73
Interquartile range (IQR)5

Descriptive statistics

Standard deviation4.887719547
Coefficient of variation (CV)0.6583057677
Kurtosis10.04235449
Mean7.424695007
Median Absolute Deviation (MAD)2
Skewness2.232316015
Sum708405
Variance23.88980237
MonotonicityNot monotonic
2022-11-23T02:49:42.244393image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
510748
11.3%
610350
10.8%
410315
10.8%
79564
10.0%
38595
9.0%
88033
8.4%
96709
7.0%
105330
 
5.6%
25255
 
5.5%
114303
 
4.5%
Other values (50)16210
17.0%
ValueCountFrequency (%)
01071
 
1.1%
11614
 
1.7%
25255
5.5%
38595
9.0%
410315
10.8%
ValueCountFrequency (%)
732
< 0.1%
671
 
< 0.1%
623
< 0.1%
591
 
< 0.1%
562
< 0.1%

MARR4
Real number (ℝ≥0)

Distinct100
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean22.94842368
Minimum0
Maximum99
Zeros816
Zeros (%)0.9%
Negative0
Negative (%)0.0%
Memory size745.5 KiB
2022-11-23T02:49:42.321624image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile13
Q118
median21
Q326
95-th percentile39
Maximum99
Range99
Interquartile range (IQR)8

Descriptive statistics

Standard deviation8.882360286
Coefficient of variation (CV)0.3870575343
Kurtosis7.023629308
Mean22.94842368
Median Absolute Deviation (MAD)4
Skewness1.683927931
Sum2189555
Variance78.89632425
MonotonicityNot monotonic
2022-11-23T02:49:42.394099image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
197373
 
7.7%
187348
 
7.7%
207253
 
7.6%
216694
 
7.0%
175901
 
6.2%
225875
 
6.2%
235259
 
5.5%
164497
 
4.7%
244276
 
4.5%
253985
 
4.2%
Other values (90)36951
38.7%
ValueCountFrequency (%)
0816
0.9%
14
 
< 0.1%
279
 
0.1%
3122
 
0.1%
4188
 
0.2%
ValueCountFrequency (%)
9910
< 0.1%
983
 
< 0.1%
975
< 0.1%
963
 
< 0.1%
955
< 0.1%

HHP1
Real number (ℝ≥0)

Distinct393
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean185.2717373
Minimum0
Maximum650
Zeros817
Zeros (%)0.9%
Negative0
Negative (%)0.0%
Memory size745.5 KiB
2022-11-23T02:49:42.466884image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile109
Q1158
median182
Q3211
95-th percentile271
Maximum650
Range650
Interquartile range (IQR)53

Descriptive statistics

Standard deviation50.04120842
Coefficient of variation (CV)0.2700962875
Kurtosis2.54665849
Mean185.2717373
Median Absolute Deviation (MAD)26
Skewness0.1844606057
Sum17677147
Variance2504.12254
MonotonicityNot monotonic
2022-11-23T02:49:42.536842image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1791181
 
1.2%
1771162
 
1.2%
1801149
 
1.2%
1741140
 
1.2%
1781122
 
1.2%
1831113
 
1.2%
1881104
 
1.2%
1851104
 
1.2%
1841086
 
1.1%
1811077
 
1.1%
Other values (383)84174
88.2%
ValueCountFrequency (%)
0817
0.9%
5020
 
< 0.1%
524
 
< 0.1%
537
 
< 0.1%
545
 
< 0.1%
ValueCountFrequency (%)
6504
< 0.1%
5351
 
< 0.1%
5271
 
< 0.1%
5252
< 0.1%
5091
 
< 0.1%

HHP2
Real number (ℝ≥0)

Distinct377
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean259.6849977
Minimum0
Maximum700
Zeros817
Zeros (%)0.9%
Negative0
Negative (%)0.0%
Memory size745.5 KiB
2022-11-23T02:49:42.611255image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile183
Q1235
median262
Q3288
95-th percentile331
Maximum700
Range700
Interquartile range (IQR)53

Descriptive statistics

Standard deviation49.90181949
Coefficient of variation (CV)0.1921628894
Kurtosis5.973350309
Mean259.6849977
Median Absolute Deviation (MAD)26
Skewness-1.0280888
Sum24777065
Variance2490.191588
MonotonicityNot monotonic
2022-11-23T02:49:42.682018image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
2671079
 
1.1%
2601057
 
1.1%
2591056
 
1.1%
2641045
 
1.1%
2631040
 
1.1%
2701027
 
1.1%
2621023
 
1.1%
2731021
 
1.1%
2751013
 
1.1%
2571005
 
1.1%
Other values (367)85046
89.1%
ValueCountFrequency (%)
0817
0.9%
10020
 
< 0.1%
1055
 
< 0.1%
1061
 
< 0.1%
1074
 
< 0.1%
ValueCountFrequency (%)
7004
< 0.1%
5231
 
< 0.1%
5221
 
< 0.1%
5212
< 0.1%
5071
 
< 0.1%

DW1
Real number (ℝ≥0)

ZEROS

Distinct100
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean70.08353247
Minimum0
Maximum99
Zeros1169
Zeros (%)1.2%
Negative0
Negative (%)0.0%
Memory size745.5 KiB
2022-11-23T02:49:42.758914image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile16
Q158
median75
Q390
95-th percentile99
Maximum99
Range99
Interquartile range (IQR)32

Descriptive statistics

Standard deviation24.97463938
Coefficient of variation (CV)0.3563553163
Kurtosis0.3864099987
Mean70.08353247
Median Absolute Deviation (MAD)16
Skewness-0.9895935763
Sum6686810
Variance623.732612
MonotonicityNot monotonic
2022-11-23T02:49:42.830714image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
999878
 
10.4%
982604
 
2.7%
771886
 
2.0%
971883
 
2.0%
751826
 
1.9%
721772
 
1.9%
791769
 
1.9%
761744
 
1.8%
811740
 
1.8%
731739
 
1.8%
Other values (90)68571
71.9%
ValueCountFrequency (%)
01169
1.2%
1392
 
0.4%
2282
 
0.3%
3239
 
0.3%
4232
 
0.2%
ValueCountFrequency (%)
999878
10.4%
982604
 
2.7%
971883
 
2.0%
961721
 
1.8%
951462
 
1.5%

DW2
Real number (ℝ≥0)

ZEROS

Distinct100
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean66.03659917
Minimum0
Maximum99
Zeros1558
Zeros (%)1.6%
Negative0
Negative (%)0.0%
Memory size745.5 KiB
2022-11-23T02:49:42.904040image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile10
Q152
median72
Q386
95-th percentile99
Maximum99
Range99
Interquartile range (IQR)34

Descriptive statistics

Standard deviation26.35314692
Coefficient of variation (CV)0.399068808
Kurtosis-0.08647061205
Mean66.03659917
Median Absolute Deviation (MAD)17
Skewness-0.8296816954
Sum6300684
Variance694.4883525
MonotonicityNot monotonic
2022-11-23T02:49:42.974551image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
996578
 
6.9%
982531
 
2.7%
711830
 
1.9%
721772
 
1.9%
741765
 
1.8%
751742
 
1.8%
771733
 
1.8%
731698
 
1.8%
701698
 
1.8%
761680
 
1.8%
Other values (90)72385
75.9%
ValueCountFrequency (%)
01558
1.6%
1681
0.7%
2403
 
0.4%
3414
 
0.4%
4281
 
0.3%
ValueCountFrequency (%)
996578
6.9%
982531
 
2.7%
971677
 
1.8%
961452
 
1.5%
951245
 
1.3%

DW3
Real number (ℝ≥0)

ZEROS

Distinct70
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2.900861527
Minimum0
Maximum99
Zeros35949
Zeros (%)37.7%
Negative0
Negative (%)0.0%
Memory size745.5 KiB
2022-11-23T02:49:43.116249image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median1
Q33
95-th percentile12
Maximum99
Range99
Interquartile range (IQR)3

Descriptive statistics

Standard deviation5.365286162
Coefficient of variation (CV)1.849549216
Kurtosis27.2284638
Mean2.900861527
Median Absolute Deviation (MAD)1
Skewness4.324184837
Sum276777
Variance28.7862956
MonotonicityNot monotonic
2022-11-23T02:49:43.187514image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
035949
37.7%
119369
20.3%
210354
 
10.9%
37018
 
7.4%
44683
 
4.9%
53451
 
3.6%
62592
 
2.7%
72111
 
2.2%
81613
 
1.7%
91215
 
1.3%
Other values (60)7057
 
7.4%
ValueCountFrequency (%)
035949
37.7%
119369
20.3%
210354
 
10.9%
37018
 
7.4%
44683
 
4.9%
ValueCountFrequency (%)
991
 
< 0.1%
702
< 0.1%
681
 
< 0.1%
671
 
< 0.1%
663
< 0.1%

DW4
Real number (ℝ≥0)

ZEROS

Distinct100
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean19.4807781
Minimum0
Maximum99
Zeros16326
Zeros (%)17.1%
Negative0
Negative (%)0.0%
Memory size745.5 KiB
2022-11-23T02:49:43.260218image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q11
median9
Q329
95-th percentile74
Maximum99
Range99
Interquartile range (IQR)28

Descriptive statistics

Standard deviation23.85444163
Coefficient of variation (CV)1.224511747
Kurtosis1.450278477
Mean19.4807781
Median Absolute Deviation (MAD)9
Skewness1.479187799
Sum1858700
Variance569.0343854
MonotonicityNot monotonic
2022-11-23T02:49:43.331529image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
016326
 
17.1%
18331
 
8.7%
24814
 
5.0%
33788
 
4.0%
43223
 
3.4%
52713
 
2.8%
62525
 
2.6%
72324
 
2.4%
82052
 
2.2%
91919
 
2.0%
Other values (90)47397
49.7%
ValueCountFrequency (%)
016326
17.1%
18331
8.7%
24814
 
5.0%
33788
 
4.0%
43223
 
3.4%
ValueCountFrequency (%)
99269
0.3%
98233
0.2%
97236
0.2%
96172
0.2%
95182
0.2%

DW5
Real number (ℝ≥0)

ZEROS

Distinct100
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean16.55540184
Minimum0
Maximum99
Zeros24860
Zeros (%)26.1%
Negative0
Negative (%)0.0%
Memory size745.5 KiB
2022-11-23T02:49:43.404191image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median6
Q324
95-th percentile69
Maximum99
Range99
Interquartile range (IQR)24

Descriptive statistics

Standard deviation22.64553471
Coefficient of variation (CV)1.367863791
Kurtosis2.258509936
Mean16.55540184
Median Absolute Deviation (MAD)6
Skewness1.696333558
Sum1579584
Variance512.8202424
MonotonicityNot monotonic
2022-11-23T02:49:43.476204image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
024860
26.1%
17401
 
7.8%
24555
 
4.8%
33608
 
3.8%
43255
 
3.4%
52733
 
2.9%
62426
 
2.5%
72146
 
2.2%
81944
 
2.0%
91727
 
1.8%
Other values (90)40757
42.7%
ValueCountFrequency (%)
024860
26.1%
17401
 
7.8%
24555
 
4.8%
33608
 
3.8%
43255
 
3.4%
ValueCountFrequency (%)
99180
0.2%
98225
0.2%
97158
0.2%
96185
0.2%
95135
0.1%

DW6
Real number (ℝ≥0)

ZEROS

Distinct100
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean13.10292206
Minimum0
Maximum99
Zeros34134
Zeros (%)35.8%
Negative0
Negative (%)0.0%
Memory size745.5 KiB
2022-11-23T02:49:43.549864image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median3
Q318
95-th percentile61
Maximum99
Range99
Interquartile range (IQR)18

Descriptive statistics

Standard deviation20.4577546
Coefficient of variation (CV)1.561312392
Kurtosis3.707950302
Mean13.10292206
Median Absolute Deviation (MAD)3
Skewness2.017359753
Sum1250176
Variance418.5197231
MonotonicityNot monotonic
2022-11-23T02:49:43.622879image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
034134
35.8%
16766
 
7.1%
24731
 
5.0%
33722
 
3.9%
43022
 
3.2%
52451
 
2.6%
62099
 
2.2%
71899
 
2.0%
81717
 
1.8%
91601
 
1.7%
Other values (90)33270
34.9%
ValueCountFrequency (%)
034134
35.8%
16766
 
7.1%
24731
 
5.0%
33722
 
3.9%
43022
 
3.2%
ValueCountFrequency (%)
9972
0.1%
98112
0.1%
97107
0.1%
96116
0.1%
9593
0.1%

DW7
Real number (ℝ≥0)

ZEROS

Distinct97
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1.789848237
Minimum0
Maximum99
Zeros66889
Zeros (%)70.1%
Negative0
Negative (%)0.0%
Memory size745.5 KiB
2022-11-23T02:49:43.697679image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q31
95-th percentile9
Maximum99
Range99
Interquartile range (IQR)1

Descriptive statistics

Standard deviation5.906878203
Coefficient of variation (CV)3.300211761
Kurtosis80.38356299
Mean1.789848237
Median Absolute Deviation (MAD)0
Skewness7.565179107
Sum170773
Variance34.8912101
MonotonicityNot monotonic
2022-11-23T02:49:43.770125image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
066889
70.1%
18319
 
8.7%
25281
 
5.5%
33030
 
3.2%
42055
 
2.2%
51523
 
1.6%
61235
 
1.3%
7935
 
1.0%
8776
 
0.8%
9640
 
0.7%
Other values (87)4729
 
5.0%
ValueCountFrequency (%)
066889
70.1%
18319
 
8.7%
25281
 
5.5%
33030
 
3.2%
42055
 
2.2%
ValueCountFrequency (%)
9923
< 0.1%
984
 
< 0.1%
973
 
< 0.1%
961
 
< 0.1%
941
 
< 0.1%

DW8
Real number (ℝ≥0)

ZEROS

Distinct86
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1.160315264
Minimum0
Maximum99
Zeros74846
Zeros (%)78.4%
Negative0
Negative (%)0.0%
Memory size745.5 KiB
2022-11-23T02:49:43.844167image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile7
Maximum99
Range99
Interquartile range (IQR)0

Descriptive statistics

Standard deviation4.254838998
Coefficient of variation (CV)3.666968047
Kurtosis116.3926669
Mean1.160315264
Median Absolute Deviation (MAD)0
Skewness8.686908835
Sum110708
Variance18.1036549
MonotonicityNot monotonic
2022-11-23T02:49:43.917261image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
074846
78.4%
15827
 
6.1%
24084
 
4.3%
32289
 
2.4%
41430
 
1.5%
51086
 
1.1%
6953
 
1.0%
7700
 
0.7%
8623
 
0.7%
10468
 
0.5%
Other values (76)3106
 
3.3%
ValueCountFrequency (%)
074846
78.4%
15827
 
6.1%
24084
 
4.3%
32289
 
2.4%
41430
 
1.5%
ValueCountFrequency (%)
997
< 0.1%
981
 
< 0.1%
941
 
< 0.1%
882
 
< 0.1%
861
 
< 0.1%

DW9
Real number (ℝ≥0)

ZEROS

Distinct91
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.6212006875
Minimum0
Maximum99
Zeros83535
Zeros (%)87.6%
Negative0
Negative (%)0.0%
Memory size745.5 KiB
2022-11-23T02:49:43.991990image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile2
Maximum99
Range99
Interquartile range (IQR)0

Descriptive statistics

Standard deviation3.969514473
Coefficient of variation (CV)6.39006774
Kurtosis227.1290977
Mean0.6212006875
Median Absolute Deviation (MAD)0
Skewness13.35787043
Sum59270
Variance15.75704515
MonotonicityNot monotonic
2022-11-23T02:49:44.062436image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
083535
87.6%
15681
 
6.0%
21949
 
2.0%
3992
 
1.0%
4563
 
0.6%
5425
 
0.4%
6319
 
0.3%
7253
 
0.3%
8156
 
0.2%
10148
 
0.2%
Other values (81)1391
 
1.5%
ValueCountFrequency (%)
083535
87.6%
15681
 
6.0%
21949
 
2.0%
3992
 
1.0%
4563
 
0.6%
ValueCountFrequency (%)
9911
< 0.1%
983
 
< 0.1%
973
 
< 0.1%
941
 
< 0.1%
932
 
< 0.1%

HV1
Real number (ℝ≥0)

ZEROS

Distinct4434
Distinct (%)4.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1061.838238
Minimum0
Maximum6000
Zeros1117
Zeros (%)1.2%
Negative0
Negative (%)0.0%
Memory size745.5 KiB
2022-11-23T02:49:44.203554image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile307
Q1513
median737
Q31213
95-th percentile3038
Maximum6000
Range6000
Interquartile range (IQR)700

Descriptive statistics

Standard deviation941.7658924
Coefficient of variation (CV)0.8869203032
Kurtosis7.289904046
Mean1061.838238
Median Absolute Deviation (MAD)282
Skewness2.490768916
Sum101312110
Variance886922.996
MonotonicityNot monotonic
2022-11-23T02:49:44.272499image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
01117
 
1.2%
675262
 
0.3%
550211
 
0.2%
875187
 
0.2%
425180
 
0.2%
638172
 
0.2%
475167
 
0.2%
713167
 
0.2%
575159
 
0.2%
684149
 
0.2%
Other values (4424)92641
97.1%
ValueCountFrequency (%)
01117
1.2%
759
 
< 0.1%
892
 
< 0.1%
931
 
< 0.1%
983
 
< 0.1%
ValueCountFrequency (%)
600014
< 0.1%
59941
 
< 0.1%
59932
 
< 0.1%
59912
 
< 0.1%
59861
 
< 0.1%

HV2
Real number (ℝ≥0)

ZEROS

Distinct4623
Distinct (%)4.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1133.031086
Minimum0
Maximum6000
Zeros1117
Zeros (%)1.2%
Negative0
Negative (%)0.0%
Memory size745.5 KiB
2022-11-23T02:49:44.346234image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile342
Q1555
median803
Q31328.25
95-th percentile3177
Maximum6000
Range6000
Interquartile range (IQR)773.25

Descriptive statistics

Standard deviation947.3846175
Coefficient of variation (CV)0.8361505955
Kurtosis5.671685374
Mean1133.031086
Median Absolute Deviation (MAD)312
Skewness2.231345989
Sum108104762
Variance897537.6135
MonotonicityNot monotonic
2022-11-23T02:49:44.415288image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
01117
 
1.2%
625146
 
0.2%
547138
 
0.1%
642136
 
0.1%
571135
 
0.1%
561132
 
0.1%
521132
 
0.1%
706132
 
0.1%
610131
 
0.1%
565130
 
0.1%
Other values (4613)93083
97.6%
ValueCountFrequency (%)
01117
1.2%
902
 
< 0.1%
1191
 
< 0.1%
1201
 
< 0.1%
1257
 
< 0.1%
ValueCountFrequency (%)
600014
< 0.1%
59911
 
< 0.1%
59761
 
< 0.1%
59741
 
< 0.1%
59632
 
< 0.1%

HV3
Real number (ℝ≥0)

Distinct14
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean4.224248522
Minimum0
Maximum13
Zeros904
Zeros (%)0.9%
Negative0
Negative (%)0.0%
Memory size745.5 KiB
2022-11-23T02:49:44.476387image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile2
Q13
median4
Q35
95-th percentile9
Maximum13
Range13
Interquartile range (IQR)2

Descriptive statistics

Standard deviation2.307937689
Coefficient of variation (CV)0.5463546183
Kurtosis1.58466767
Mean4.224248522
Median Absolute Deviation (MAD)1
Skewness1.193299881
Sum403044
Variance5.326576376
MonotonicityNot monotonic
2022-11-23T02:49:44.531795image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram with fixed size bins (bins=14)
ValueCountFrequency (%)
321368
22.4%
417948
18.8%
217878
18.7%
512466
13.1%
67939
 
8.3%
75124
 
5.4%
13173
 
3.3%
82860
 
3.0%
92182
 
2.3%
121297
 
1.4%
Other values (4)3177
 
3.3%
ValueCountFrequency (%)
0904
 
0.9%
13173
 
3.3%
217878
18.7%
321368
22.4%
417948
18.8%
ValueCountFrequency (%)
13192
 
0.2%
121297
1.4%
11999
1.0%
101082
1.1%
92182
2.3%

HV4
Real number (ℝ≥0)

ZEROS

Distinct14
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3.875885633
Minimum0
Maximum13
Zeros1229
Zeros (%)1.3%
Negative0
Negative (%)0.0%
Memory size745.5 KiB
2022-11-23T02:49:44.585304image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile1
Q12
median3
Q35
95-th percentile8
Maximum13
Range13
Interquartile range (IQR)3

Descriptive statistics

Standard deviation2.244389295
Coefficient of variation (CV)0.5790648919
Kurtosis0.6067939312
Mean3.875885633
Median Absolute Deviation (MAD)1
Skewness0.8917309819
Sum369806
Variance5.037283308
MonotonicityNot monotonic
2022-11-23T02:49:44.639907image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram with fixed size bins (bins=14)
ValueCountFrequency (%)
218818
19.7%
318473
19.4%
416117
16.9%
511334
11.9%
19676
10.1%
67374
 
7.7%
74960
 
5.2%
83256
 
3.4%
91945
 
2.0%
101344
 
1.4%
Other values (4)2115
 
2.2%
ValueCountFrequency (%)
01229
 
1.3%
19676
10.1%
218818
19.7%
318473
19.4%
416117
16.9%
ValueCountFrequency (%)
1345
 
< 0.1%
12144
 
0.2%
11697
 
0.7%
101344
1.4%
91945
2.0%

HU1
Real number (ℝ≥0)

ZEROS

Distinct100
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean69.69683059
Minimum0
Maximum99
Zeros1073
Zeros (%)1.1%
Negative0
Negative (%)0.0%
Memory size745.5 KiB
2022-11-23T02:49:44.706563image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile23
Q160
median76
Q385
95-th percentile95
Maximum99
Range99
Interquartile range (IQR)25

Descriptive statistics

Standard deviation21.71707841
Coefficient of variation (CV)0.311593486
Kurtosis1.118717062
Mean69.69683059
Median Absolute Deviation (MAD)11
Skewness-1.22048788
Sum6649914
Variance471.6314945
MonotonicityNot monotonic
2022-11-23T02:49:44.777987image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
842670
 
2.8%
822638
 
2.8%
852544
 
2.7%
812530
 
2.7%
832491
 
2.6%
862480
 
2.6%
802452
 
2.6%
792451
 
2.6%
782376
 
2.5%
872335
 
2.4%
Other values (90)70445
73.8%
ValueCountFrequency (%)
01073
1.1%
1234
 
0.2%
294
 
0.1%
3124
 
0.1%
4110
 
0.1%
ValueCountFrequency (%)
99418
 
0.4%
98834
0.9%
971192
1.2%
961360
1.4%
951378
1.4%

HU2
Real number (ℝ≥0)

Distinct100
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean29.44577202
Minimum0
Maximum99
Zeros878
Zeros (%)0.9%
Negative0
Negative (%)0.0%
Memory size745.5 KiB
2022-11-23T02:49:44.851038image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile5
Q114
median24
Q340
95-th percentile74
Maximum99
Range99
Interquartile range (IQR)26

Descriptive statistics

Standard deviation20.90012374
Coefficient of variation (CV)0.709783521
Kurtosis0.9400770578
Mean29.44577202
Median Absolute Deviation (MAD)11
Skewness1.144664425
Sum2809480
Variance436.8151725
MonotonicityNot monotonic
2022-11-23T02:49:44.922490image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
162669
 
2.8%
182652
 
2.8%
152542
 
2.7%
192531
 
2.7%
142484
 
2.6%
172479
 
2.6%
202452
 
2.6%
212448
 
2.6%
132392
 
2.5%
222370
 
2.5%
Other values (90)70393
73.8%
ValueCountFrequency (%)
0878
0.9%
1354
 
0.4%
2834
0.9%
31195
1.3%
41358
1.4%
ValueCountFrequency (%)
99490
0.5%
9894
 
0.1%
97125
 
0.1%
96109
 
0.1%
95110
 
0.1%

HU3
Real number (ℝ≥0)

Distinct93
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean89.96660797
Minimum0
Maximum99
Zeros817
Zeros (%)0.9%
Negative0
Negative (%)0.0%
Memory size745.5 KiB
2022-11-23T02:49:44.995444image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile69
Q189
median94
Q396
95-th percentile99
Maximum99
Range99
Interquartile range (IQR)7

Descriptive statistics

Standard deviation12.95520965
Coefficient of variation (CV)0.1440002012
Kurtosis21.88549901
Mean89.96660797
Median Absolute Deviation (MAD)3
Skewness-4.129262277
Sum8583894
Variance167.837457
MonotonicityNot monotonic
2022-11-23T02:49:45.068553image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
9710020
 
10.5%
969729
 
10.2%
958668
 
9.1%
988416
 
8.8%
947464
 
7.8%
936431
 
6.7%
925243
 
5.5%
995218
 
5.5%
914652
 
4.9%
903718
 
3.9%
Other values (83)25853
27.1%
ValueCountFrequency (%)
0817
0.9%
24
 
< 0.1%
51
 
< 0.1%
94
 
< 0.1%
102
 
< 0.1%
ValueCountFrequency (%)
995218
5.5%
988416
8.8%
9710020
10.5%
969729
10.2%
958668
9.1%

HU4
Real number (ℝ≥0)

ZEROS

Distinct94
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean9.176476753
Minimum0
Maximum99
Zeros1552
Zeros (%)1.6%
Negative0
Negative (%)0.0%
Memory size745.5 KiB
2022-11-23T02:49:45.143257image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile1
Q13
median6
Q311
95-th percentile28
Maximum99
Range99
Interquartile range (IQR)8

Descriptive statistics

Standard deviation9.960745335
Coefficient of variation (CV)1.085465109
Kurtosis12.57741686
Mean9.176476753
Median Absolute Deviation (MAD)3
Skewness3.061375883
Sum875546
Variance99.21644763
MonotonicityNot monotonic
2022-11-23T02:49:45.285440image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
310064
 
10.5%
49718
 
10.2%
58675
 
9.1%
28375
 
8.8%
67461
 
7.8%
76425
 
6.7%
85251
 
5.5%
94654
 
4.9%
14473
 
4.7%
103720
 
3.9%
Other values (84)26596
27.9%
ValueCountFrequency (%)
01552
 
1.6%
14473
4.7%
28375
8.8%
310064
10.5%
49718
10.2%
ValueCountFrequency (%)
995
< 0.1%
984
< 0.1%
951
 
< 0.1%
914
< 0.1%
902
 
< 0.1%

HU5
Real number (ℝ≥0)

ZEROS

Distinct100
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean13.73727623
Minimum0
Maximum99
Zeros29653
Zeros (%)31.1%
Negative0
Negative (%)0.0%
Memory size745.5 KiB
2022-11-23T02:49:45.359147image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median5
Q316
95-th percentile66
Maximum99
Range99
Interquartile range (IQR)16

Descriptive statistics

Standard deviation20.98165286
Coefficient of variation (CV)1.527351747
Kurtosis3.39973863
Mean13.73727623
Median Absolute Deviation (MAD)5
Skewness2.019053916
Sum1310701
Variance440.2297566
MonotonicityNot monotonic
2022-11-23T02:49:45.430895image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
029653
31.1%
34975
 
5.2%
24574
 
4.8%
44439
 
4.7%
53935
 
4.1%
63442
 
3.6%
12989
 
3.1%
72988
 
3.1%
82882
 
3.0%
92136
 
2.2%
Other values (90)33399
35.0%
ValueCountFrequency (%)
029653
31.1%
12989
 
3.1%
24574
 
4.8%
34975
 
5.2%
44439
 
4.7%
ValueCountFrequency (%)
9971
0.1%
9828
 
< 0.1%
9733
< 0.1%
9653
0.1%
9550
0.1%

HHD1
Real number (ℝ≥0)

ZEROS

Distinct95
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean35.65452983
Minimum0
Maximum99
Zeros1277
Zeros (%)1.3%
Negative0
Negative (%)0.0%
Memory size745.5 KiB
2022-11-23T02:49:45.504570image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile12
Q128
median36
Q344
95-th percentile56
Maximum99
Range99
Interquartile range (IQR)16

Descriptive statistics

Standard deviation13.03505979
Coefficient of variation (CV)0.3655933721
Kurtosis0.5514591437
Mean35.65452983
Median Absolute Deviation (MAD)8
Skewness-0.2470271341
Sum3401870
Variance169.9127838
MonotonicityNot monotonic
2022-11-23T02:49:45.577238image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
383619
 
3.8%
363424
 
3.6%
353419
 
3.6%
393403
 
3.6%
373381
 
3.5%
403277
 
3.4%
413270
 
3.4%
343260
 
3.4%
333187
 
3.3%
423019
 
3.2%
Other values (85)62153
65.1%
ValueCountFrequency (%)
01277
1.3%
1193
 
0.2%
2184
 
0.2%
3195
 
0.2%
4239
 
0.3%
ValueCountFrequency (%)
9910
< 0.1%
981
 
< 0.1%
932
 
< 0.1%
922
 
< 0.1%
901
 
< 0.1%

HHD2
Real number (ℝ≥0)

Distinct100
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean71.50389888
Minimum0
Maximum99
Zeros842
Zeros (%)0.9%
Negative0
Negative (%)0.0%
Memory size745.5 KiB
2022-11-23T02:49:45.651586image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile43
Q166
median75
Q381
95-th percentile89
Maximum99
Range99
Interquartile range (IQR)15

Descriptive statistics

Standard deviation15.13675162
Coefficient of variation (CV)0.2116912764
Kurtosis4.622113904
Mean71.50389888
Median Absolute Deviation (MAD)7
Skewness-1.745858055
Sum6822330
Variance229.1212496
MonotonicityNot monotonic
2022-11-23T02:49:45.724267image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
773814
 
4.0%
783610
 
3.8%
763605
 
3.8%
793598
 
3.8%
753533
 
3.7%
803501
 
3.7%
743468
 
3.6%
813393
 
3.6%
733311
 
3.5%
823304
 
3.5%
Other values (90)60275
63.2%
ValueCountFrequency (%)
0842
0.9%
11
 
< 0.1%
23
 
< 0.1%
31
 
< 0.1%
47
 
< 0.1%
ValueCountFrequency (%)
9968
 
0.1%
9831
 
< 0.1%
9775
 
0.1%
96137
0.1%
95215
0.2%

HHD3
Real number (ℝ≥0)

Distinct99
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean58.75505178
Minimum0
Maximum99
Zeros856
Zeros (%)0.9%
Negative0
Negative (%)0.0%
Memory size745.5 KiB
2022-11-23T02:49:45.798469image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile28
Q150
median61
Q370
95-th percentile81
Maximum99
Range99
Interquartile range (IQR)20

Descriptive statistics

Standard deviation16.23937531
Coefficient of variation (CV)0.2763911327
Kurtosis1.031143241
Mean58.75505178
Median Absolute Deviation (MAD)10
Skewness-0.8724344538
Sum5605937
Variance263.7173105
MonotonicityNot monotonic
2022-11-23T02:49:45.869843image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
662868
 
3.0%
672832
 
3.0%
652824
 
3.0%
642820
 
3.0%
632779
 
2.9%
682744
 
2.9%
692743
 
2.9%
622557
 
2.7%
612535
 
2.7%
602436
 
2.6%
Other values (89)68274
71.6%
ValueCountFrequency (%)
0856
0.9%
13
 
< 0.1%
25
 
< 0.1%
35
 
< 0.1%
421
 
< 0.1%
ValueCountFrequency (%)
9918
< 0.1%
973
 
< 0.1%
966
 
< 0.1%
9526
< 0.1%
9427
< 0.1%

HHD4
Real number (ℝ≥0)

ZEROS

Distinct90
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean27.78055171
Minimum0
Maximum99
Zeros1376
Zeros (%)1.4%
Negative0
Negative (%)0.0%
Memory size745.5 KiB
2022-11-23T02:49:45.942810image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile7
Q120
median28
Q335
95-th percentile48
Maximum99
Range99
Interquartile range (IQR)15

Descriptive statistics

Standard deviation11.94146213
Coefficient of variation (CV)0.4298497113
Kurtosis0.4755894648
Mean27.78055171
Median Absolute Deviation (MAD)7
Skewness0.1726446531
Sum2650598
Variance142.5985179
MonotonicityNot monotonic
2022-11-23T02:49:46.015554image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
283653
 
3.8%
273609
 
3.8%
293478
 
3.6%
253424
 
3.6%
263413
 
3.6%
313360
 
3.5%
303334
 
3.5%
243185
 
3.3%
323107
 
3.3%
333107
 
3.3%
Other values (80)61742
64.7%
ValueCountFrequency (%)
01376
1.4%
1329
 
0.3%
2344
 
0.4%
3422
 
0.4%
4458
 
0.5%
ValueCountFrequency (%)
997
< 0.1%
931
 
< 0.1%
894
< 0.1%
871
 
< 0.1%
861
 
< 0.1%

HHD5
Real number (ℝ≥0)

Distinct100
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean81.92594223
Minimum0
Maximum99
Zeros844
Zeros (%)0.9%
Negative0
Negative (%)0.0%
Memory size745.5 KiB
2022-11-23T02:49:46.089793image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile56
Q179
median86
Q390
95-th percentile94
Maximum99
Range99
Interquartile range (IQR)11

Descriptive statistics

Standard deviation14.10655978
Coefficient of variation (CV)0.1721867262
Kurtosis11.65185383
Mean81.92594223
Median Absolute Deviation (MAD)5
Skewness-2.920197107
Sum7816718
Variance198.995029
MonotonicityNot monotonic
2022-11-23T02:49:46.161831image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
895809
 
6.1%
905732
 
6.0%
885627
 
5.9%
915535
 
5.8%
875250
 
5.5%
865091
 
5.3%
924960
 
5.2%
854529
 
4.7%
844228
 
4.4%
934017
 
4.2%
Other values (90)44634
46.8%
ValueCountFrequency (%)
0844
0.9%
15
 
< 0.1%
26
 
< 0.1%
38
 
< 0.1%
49
 
< 0.1%
ValueCountFrequency (%)
9965
 
0.1%
98296
 
0.3%
97761
 
0.8%
961207
1.3%
952148
2.3%

HHD6
Real number (ℝ≥0)

Distinct100
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean17.23600805
Minimum0
Maximum99
Zeros814
Zeros (%)0.9%
Negative0
Negative (%)0.0%
Memory size745.5 KiB
2022-11-23T02:49:46.235584image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile5
Q110
median14
Q321
95-th percentile41
Maximum99
Range99
Interquartile range (IQR)11

Descriptive statistics

Standard deviation12.03120738
Coefficient of variation (CV)0.6980274866
Kurtosis7.273613725
Mean17.23600805
Median Absolute Deviation (MAD)5
Skewness2.238289437
Sum1644522
Variance144.749951
MonotonicityNot monotonic
2022-11-23T02:49:46.378497image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
115809
 
6.1%
105732
 
6.0%
125627
 
5.9%
95535
 
5.8%
135250
 
5.5%
145091
 
5.3%
84960
 
5.2%
154529
 
4.7%
164228
 
4.4%
74017
 
4.2%
Other values (90)44634
46.8%
ValueCountFrequency (%)
0814
0.9%
150
 
0.1%
2296
 
0.3%
3761
0.8%
41207
1.3%
ValueCountFrequency (%)
9950
0.1%
986
 
< 0.1%
978
 
< 0.1%
969
 
< 0.1%
957
 
< 0.1%

HHD7
Real number (ℝ≥0)

ZEROS

Distinct66
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean7.873915231
Minimum0
Maximum99
Zeros1694
Zeros (%)1.8%
Negative0
Negative (%)0.0%
Memory size745.5 KiB
2022-11-23T02:49:46.451536image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile2
Q15
median7
Q310
95-th percentile18
Maximum99
Range99
Interquartile range (IQR)5

Descriptive statistics

Standard deviation5.297412952
Coefficient of variation (CV)0.6727800334
Kurtosis11.83350182
Mean7.873915231
Median Absolute Deviation (MAD)2
Skewness2.367821972
Sum751266
Variance28.06258398
MonotonicityNot monotonic
2022-11-23T02:49:46.525145image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
510981
11.5%
610957
11.5%
710401
10.9%
49395
9.8%
88651
9.1%
96821
 
7.1%
36747
 
7.1%
105265
 
5.5%
113903
 
4.1%
23493
 
3.7%
Other values (56)18798
19.7%
ValueCountFrequency (%)
01694
 
1.8%
11443
 
1.5%
23493
 
3.7%
36747
7.1%
49395
9.8%
ValueCountFrequency (%)
993
< 0.1%
841
 
< 0.1%
671
 
< 0.1%
662
< 0.1%
631
 
< 0.1%

HHD8
Real number (ℝ≥0)

ZEROS

Distinct17
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1.623758018
Minimum0
Maximum50
Zeros10080
Zeros (%)10.6%
Negative0
Negative (%)0.0%
Memory size745.5 KiB
2022-11-23T02:49:46.587132image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q11
median1
Q32
95-th percentile4
Maximum50
Range50
Interquartile range (IQR)1

Descriptive statistics

Standard deviation1.123896014
Coefficient of variation (CV)0.6921573301
Kurtosis83.04203517
Mean1.623758018
Median Absolute Deviation (MAD)1
Skewness3.196177942
Sum154926
Variance1.263142251
MonotonicityNot monotonic
2022-11-23T02:49:46.642671image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram with fixed size bins (bins=17)
ValueCountFrequency (%)
138934
40.8%
231165
32.7%
310372
 
10.9%
010080
 
10.6%
43080
 
3.2%
51096
 
1.1%
6401
 
0.4%
7156
 
0.2%
868
 
0.1%
929
 
< 0.1%
Other values (7)31
 
< 0.1%
ValueCountFrequency (%)
010080
 
10.6%
138934
40.8%
231165
32.7%
310372
 
10.9%
43080
 
3.2%
ValueCountFrequency (%)
502
< 0.1%
331
< 0.1%
182
< 0.1%
171
< 0.1%
122
< 0.1%

HHD9
Real number (ℝ≥0)

ZEROS

Distinct64
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean6.247861904
Minimum0
Maximum99
Zeros1995
Zeros (%)2.1%
Negative0
Negative (%)0.0%
Memory size745.5 KiB
2022-11-23T02:49:46.709894image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile1
Q13
median5
Q38
95-th percentile15
Maximum99
Range99
Interquartile range (IQR)5

Descriptive statistics

Standard deviation4.683115739
Coefficient of variation (CV)0.7495549375
Kurtosis17.41917488
Mean6.247861904
Median Absolute Deviation (MAD)2
Skewness2.851375075
Sum596121
Variance21.93157302
MonotonicityNot monotonic
2022-11-23T02:49:46.781362image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
413918
14.6%
512940
13.6%
311694
12.3%
610812
11.3%
78335
8.7%
27866
8.2%
85928
6.2%
94291
 
4.5%
103231
 
3.4%
13019
 
3.2%
Other values (54)13378
14.0%
ValueCountFrequency (%)
01995
 
2.1%
13019
 
3.2%
27866
8.2%
311694
12.3%
413918
14.6%
ValueCountFrequency (%)
993
< 0.1%
831
 
< 0.1%
641
 
< 0.1%
622
< 0.1%
601
 
< 0.1%

HHD10
Real number (ℝ≥0)

Distinct83
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean13.60959837
Minimum0
Maximum99
Zeros867
Zeros (%)0.9%
Negative0
Negative (%)0.0%
Memory size745.5 KiB
2022-11-23T02:49:46.854055image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile5
Q19
median12
Q316
95-th percentile27
Maximum99
Range99
Interquartile range (IQR)7

Descriptive statistics

Standard deviation7.103567373
Coefficient of variation (CV)0.5219527555
Kurtosis9.05425612
Mean13.60959837
Median Absolute Deviation (MAD)3
Skewness2.05971262
Sum1298519
Variance50.46066942
MonotonicityNot monotonic
2022-11-23T02:49:46.927032image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
119155
 
9.6%
128465
 
8.9%
108457
 
8.9%
137524
 
7.9%
97020
 
7.4%
145906
 
6.2%
85769
 
6.0%
154750
 
5.0%
74260
 
4.5%
163841
 
4.0%
Other values (73)30265
31.7%
ValueCountFrequency (%)
0867
0.9%
152
 
0.1%
2188
 
0.2%
3518
0.5%
41118
1.2%
ValueCountFrequency (%)
9911
< 0.1%
932
 
< 0.1%
881
 
< 0.1%
861
 
< 0.1%
831
 
< 0.1%

HHD11
Real number (ℝ≥0)

Distinct82
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean18.91096508
Minimum0
Maximum99
Zeros952
Zeros (%)1.0%
Negative0
Negative (%)0.0%
Memory size745.5 KiB
2022-11-23T02:49:47.001487image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile6
Q112
median18
Q324
95-th percentile36
Maximum99
Range99
Interquartile range (IQR)12

Descriptive statistics

Standard deviation9.355947322
Coefficient of variation (CV)0.49473664
Kurtosis2.284462512
Mean18.91096508
Median Absolute Deviation (MAD)6
Skewness1.013218236
Sum1804333
Variance87.53375028
MonotonicityNot monotonic
2022-11-23T02:49:47.072342image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
154693
 
4.9%
144684
 
4.9%
164599
 
4.8%
134566
 
4.8%
174490
 
4.7%
124252
 
4.5%
184125
 
4.3%
194077
 
4.3%
204033
 
4.2%
113956
 
4.1%
Other values (72)51937
54.4%
ValueCountFrequency (%)
0952
1.0%
179
 
0.1%
2180
 
0.2%
3349
 
0.4%
4664
0.7%
ValueCountFrequency (%)
9911
< 0.1%
852
 
< 0.1%
841
 
< 0.1%
801
 
< 0.1%
782
 
< 0.1%

HHD12
Real number (ℝ≥0)

ZEROS

Distinct66
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean4.822454199
Minimum0
Maximum99
Zeros1776
Zeros (%)1.9%
Negative0
Negative (%)0.0%
Memory size745.5 KiB
2022-11-23T02:49:47.144669image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile1
Q12
median4
Q36
95-th percentile12
Maximum99
Range99
Interquartile range (IQR)4

Descriptive statistics

Standard deviation4.122604024
Coefficient of variation (CV)0.8548767607
Kurtosis30.4758825
Mean4.822454199
Median Absolute Deviation (MAD)2
Skewness3.614294229
Sum460120
Variance16.99586394
MonotonicityNot monotonic
2022-11-23T02:49:47.217383image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
217311
18.1%
316693
17.5%
413541
14.2%
59835
10.3%
18250
8.6%
67232
7.6%
75034
 
5.3%
83830
 
4.0%
92720
 
2.9%
102176
 
2.3%
Other values (56)8790
9.2%
ValueCountFrequency (%)
01776
 
1.9%
18250
8.6%
217311
18.1%
316693
17.5%
413541
14.2%
ValueCountFrequency (%)
992
< 0.1%
971
 
< 0.1%
741
 
< 0.1%
674
< 0.1%
652
< 0.1%

ETHC1
Real number (ℝ≥0)

ZEROS

Distinct52
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean16.7533958
Minimum0
Maximum75
Zeros2544
Zeros (%)2.7%
Negative0
Negative (%)0.0%
Memory size745.5 KiB
2022-11-23T02:49:47.290772image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile3
Q113
median18
Q322
95-th percentile26
Maximum75
Range75
Interquartile range (IQR)9

Descriptive statistics

Standard deviation6.862205198
Coefficient of variation (CV)0.4096008523
Kurtosis0.2191275231
Mean16.7533958
Median Absolute Deviation (MAD)4
Skewness-0.4652962178
Sum1598475
Variance47.08986018
MonotonicityNot monotonic
2022-11-23T02:49:47.361029image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
196254
 
6.6%
206104
 
6.4%
216080
 
6.4%
185870
 
6.2%
225783
 
6.1%
175539
 
5.8%
165226
 
5.5%
234884
 
5.1%
154884
 
5.1%
144326
 
4.5%
Other values (42)40462
42.4%
ValueCountFrequency (%)
02544
2.7%
1978
 
1.0%
2861
 
0.9%
3945
 
1.0%
41051
1.1%
ValueCountFrequency (%)
751
 
< 0.1%
713
< 0.1%
522
< 0.1%
482
< 0.1%
471
 
< 0.1%

ETHC2
Real number (ℝ≥0)

ZEROS

Distinct95
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean50.78609609
Minimum0
Maximum99
Zeros1306
Zeros (%)1.4%
Negative0
Negative (%)0.0%
Memory size745.5 KiB
2022-11-23T02:49:47.514923image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile18
Q146
median55
Q360
95-th percentile66
Maximum99
Range99
Interquartile range (IQR)14

Descriptive statistics

Standard deviation14.52390246
Coefficient of variation (CV)0.2859818647
Kurtosis2.812382895
Mean50.78609609
Median Absolute Deviation (MAD)6
Skewness-1.599036572
Sum4845603
Variance210.9437427
MonotonicityNot monotonic
2022-11-23T02:49:47.591585image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
594448
 
4.7%
604387
 
4.6%
584343
 
4.6%
564172
 
4.4%
554165
 
4.4%
614146
 
4.3%
574141
 
4.3%
623865
 
4.1%
543834
 
4.0%
533618
 
3.8%
Other values (85)54293
56.9%
ValueCountFrequency (%)
01306
1.4%
1420
 
0.4%
2250
 
0.3%
3180
 
0.2%
4237
 
0.2%
ValueCountFrequency (%)
9910
< 0.1%
932
 
< 0.1%
921
 
< 0.1%
913
 
< 0.1%
907
< 0.1%

ETHC3
Real number (ℝ≥0)

ZEROS

Distinct100
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean17.35817298
Minimum0
Maximum99
Zeros1781
Zeros (%)1.9%
Negative0
Negative (%)0.0%
Memory size745.5 KiB
2022-11-23T02:49:47.667391image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile3
Q110
median15
Q322
95-th percentile38
Maximum99
Range99
Interquartile range (IQR)12

Descriptive statistics

Standard deviation12.29928233
Coefficient of variation (CV)0.7085585764
Kurtosis8.396142437
Mean17.35817298
Median Absolute Deviation (MAD)6
Skewness2.189369496
Sum1656178
Variance151.2723459
MonotonicityNot monotonic
2022-11-23T02:49:47.738780image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
124383
 
4.6%
134336
 
4.5%
154308
 
4.5%
144225
 
4.4%
164145
 
4.3%
114020
 
4.2%
103855
 
4.0%
173735
 
3.9%
183731
 
3.9%
93538
 
3.7%
Other values (90)55136
57.8%
ValueCountFrequency (%)
01781
1.9%
1936
1.0%
21305
1.4%
31826
1.9%
42139
2.2%
ValueCountFrequency (%)
994
 
< 0.1%
981
 
< 0.1%
975
 
< 0.1%
9625
< 0.1%
9558
0.1%

ETHC4
Real number (ℝ≥0)

ZEROS

Distinct45
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1.963652371
Minimum0
Maximum55
Zeros54820
Zeros (%)57.5%
Negative0
Negative (%)0.0%
Memory size745.5 KiB
2022-11-23T02:49:47.807423image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q31
95-th percentile11
Maximum55
Range55
Interquartile range (IQR)1

Descriptive statistics

Standard deviation4.547730152
Coefficient of variation (CV)2.31595481
Kurtosis15.04616521
Mean1.963652371
Median Absolute Deviation (MAD)0
Skewness3.646540916
Sum187356
Variance20.68184954
MonotonicityNot monotonic
2022-11-23T02:49:47.872835image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram with fixed size bins (bins=45)
ValueCountFrequency (%)
054820
57.5%
117369
 
18.2%
26067
 
6.4%
33385
 
3.5%
42346
 
2.5%
51661
 
1.7%
61255
 
1.3%
71083
 
1.1%
8897
 
0.9%
9661
 
0.7%
Other values (35)5868
 
6.2%
ValueCountFrequency (%)
054820
57.5%
117369
 
18.2%
26067
 
6.4%
33385
 
3.5%
42346
 
2.5%
ValueCountFrequency (%)
551
 
< 0.1%
433
< 0.1%
421
 
< 0.1%
412
< 0.1%
402
< 0.1%

ETHC5
Real number (ℝ≥0)

ZEROS

Distinct78
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean4.572538046
Minimum0
Maximum99
Zeros38227
Zeros (%)40.1%
Negative0
Negative (%)0.0%
Memory size745.5 KiB
2022-11-23T02:49:47.946121image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median1
Q34
95-th percentile25
Maximum99
Range99
Interquartile range (IQR)4

Descriptive statistics

Standard deviation10.07309076
Coefficient of variation (CV)2.202953953
Kurtosis14.34417986
Mean4.572538046
Median Absolute Deviation (MAD)1
Skewness3.623254859
Sum436275
Variance101.4671575
MonotonicityNot monotonic
2022-11-23T02:49:48.018590image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
038227
40.1%
119138
20.1%
28730
 
9.1%
35187
 
5.4%
43517
 
3.7%
52551
 
2.7%
61997
 
2.1%
71493
 
1.6%
81300
 
1.4%
91129
 
1.2%
Other values (68)12143
 
12.7%
ValueCountFrequency (%)
038227
40.1%
119138
20.1%
28730
 
9.1%
35187
 
5.4%
43517
 
3.7%
ValueCountFrequency (%)
992
< 0.1%
961
 
< 0.1%
861
 
< 0.1%
833
< 0.1%
811
 
< 0.1%

ETHC6
Real number (ℝ≥0)

ZEROS

Distinct53
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.8361526852
Minimum0
Maximum99
Zeros75085
Zeros (%)78.7%
Negative0
Negative (%)0.0%
Memory size745.5 KiB
2022-11-23T02:49:48.092092image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile5
Maximum99
Range99
Interquartile range (IQR)0

Descriptive statistics

Standard deviation2.91961093
Coefficient of variation (CV)3.491719852
Kurtosis73.53431549
Mean0.8361526852
Median Absolute Deviation (MAD)0
Skewness6.838447872
Sum79779
Variance8.524127982
MonotonicityNot monotonic
2022-11-23T02:49:48.165699image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
075085
78.7%
19089
 
9.5%
23126
 
3.3%
31838
 
1.9%
41249
 
1.3%
5895
 
0.9%
6740
 
0.8%
7563
 
0.6%
8417
 
0.4%
9365
 
0.4%
Other values (43)2045
 
2.1%
ValueCountFrequency (%)
075085
78.7%
19089
 
9.5%
23126
 
3.3%
31838
 
1.9%
41249
 
1.3%
ValueCountFrequency (%)
991
< 0.1%
811
< 0.1%
741
< 0.1%
571
< 0.1%
541
< 0.1%

HVP1
Real number (ℝ≥0)

ZEROS

Distinct100
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean13.58759904
Minimum0
Maximum99
Zeros40051
Zeros (%)42.0%
Negative0
Negative (%)0.0%
Memory size745.5 KiB
2022-11-23T02:49:48.240622image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median1
Q39
95-th percentile88
Maximum99
Range99
Interquartile range (IQR)9

Descriptive statistics

Standard deviation26.62305675
Coefficient of variation (CV)1.959364319
Kurtosis3.200485043
Mean13.58759904
Median Absolute Deviation (MAD)1
Skewness2.12963087
Sum1296420
Variance708.7871508
MonotonicityNot monotonic
2022-11-23T02:49:48.311903image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
040051
42.0%
113769
 
14.4%
25680
 
6.0%
33391
 
3.6%
42371
 
2.5%
51767
 
1.9%
61401
 
1.5%
71297
 
1.4%
81102
 
1.2%
9903
 
0.9%
Other values (90)23680
24.8%
ValueCountFrequency (%)
040051
42.0%
113769
 
14.4%
25680
 
6.0%
33391
 
3.6%
42371
 
2.5%
ValueCountFrequency (%)
99661
0.7%
98529
0.6%
97525
0.6%
96498
0.5%
95442
0.5%

HVP2
Real number (ℝ≥0)

ZEROS

Distinct100
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean21.04944871
Minimum0
Maximum99
Zeros24097
Zeros (%)25.3%
Negative0
Negative (%)0.0%
Memory size745.5 KiB
2022-11-23T02:49:48.384648image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median3
Q328
95-th percentile96
Maximum99
Range99
Interquartile range (IQR)28

Descriptive statistics

Standard deviation31.89762263
Coefficient of variation (CV)1.515366178
Kurtosis0.590509656
Mean21.04944871
Median Absolute Deviation (MAD)3
Skewness1.457663222
Sum2008370
Variance1017.45833
MonotonicityNot monotonic
2022-11-23T02:49:48.457031image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
024097
25.3%
113011
 
13.6%
26773
 
7.1%
34216
 
4.4%
43075
 
3.2%
52440
 
2.6%
62165
 
2.3%
991796
 
1.9%
71684
 
1.8%
81334
 
1.4%
Other values (90)34821
36.5%
ValueCountFrequency (%)
024097
25.3%
113011
13.6%
26773
 
7.1%
34216
 
4.4%
43075
 
3.2%
ValueCountFrequency (%)
991796
1.9%
981276
1.3%
971125
1.2%
96801
0.8%
95713
 
0.7%

HVP3
Real number (ℝ≥0)

ZEROS

Distinct100
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean35.10522785
Minimum0
Maximum99
Zeros8692
Zeros (%)9.1%
Negative0
Negative (%)0.0%
Memory size745.5 KiB
2022-11-23T02:49:48.602148image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q13
median17
Q370
95-th percentile99
Maximum99
Range99
Interquartile range (IQR)67

Descriptive statistics

Standard deviation36.64471532
Coefficient of variation (CV)1.04385351
Kurtosis-1.138364605
Mean35.10522785
Median Absolute Deviation (MAD)16
Skewness0.6941156086
Sum3349460
Variance1342.835161
MonotonicityNot monotonic
2022-11-23T02:49:48.674491image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
08692
 
9.1%
16520
 
6.8%
996164
 
6.5%
24937
 
5.2%
33976
 
4.2%
43192
 
3.3%
52921
 
3.1%
982454
 
2.6%
62413
 
2.5%
72234
 
2.3%
Other values (90)51909
54.4%
ValueCountFrequency (%)
08692
9.1%
16520
6.8%
24937
5.2%
33976
4.2%
43192
 
3.3%
ValueCountFrequency (%)
996164
6.5%
982454
 
2.6%
971812
 
1.9%
961339
 
1.4%
951063
 
1.1%

HVP4
Real number (ℝ≥0)

ZEROS

Distinct100
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean51.17438058
Minimum0
Maximum99
Zeros2955
Zeros (%)3.1%
Negative0
Negative (%)0.0%
Memory size745.5 KiB
2022-11-23T02:49:48.748409image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile2
Q115
median48
Q392
95-th percentile99
Maximum99
Range99
Interquartile range (IQR)77

Descriptive statistics

Standard deviation36.74506006
Coefficient of variation (CV)0.7180362448
Kurtosis-1.600059006
Mean51.17438058
Median Absolute Deviation (MAD)38
Skewness0.04797848563
Sum4882650
Variance1350.199439
MonotonicityNot monotonic
2022-11-23T02:49:48.821693image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
9912148
 
12.7%
983792
 
4.0%
02955
 
3.1%
972326
 
2.4%
11811
 
1.9%
21740
 
1.8%
961692
 
1.8%
41678
 
1.8%
31662
 
1.7%
51596
 
1.7%
Other values (90)64012
67.1%
ValueCountFrequency (%)
02955
3.1%
11811
1.9%
21740
1.8%
31662
1.7%
41678
1.8%
ValueCountFrequency (%)
9912148
12.7%
983792
 
4.0%
972326
 
2.4%
961692
 
1.8%
951339
 
1.4%

HVP5
Real number (ℝ≥0)

ZEROS

Distinct100
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean73.90679369
Minimum0
Maximum99
Zeros1295
Zeros (%)1.4%
Negative0
Negative (%)0.0%
Memory size745.5 KiB
2022-11-23T02:49:48.896438image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile14
Q152
median89
Q399
95-th percentile99
Maximum99
Range99
Interquartile range (IQR)47

Descriptive statistics

Standard deviation29.59615408
Coefficient of variation (CV)0.4004524158
Kurtosis-0.4290680364
Mean73.90679369
Median Absolute Deviation (MAD)10
Skewness-0.9476022951
Sum7051595
Variance875.9323361
MonotonicityNot monotonic
2022-11-23T02:49:48.968358image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
9926659
27.9%
985650
 
5.9%
973321
 
3.5%
962679
 
2.8%
952106
 
2.2%
941706
 
1.8%
931442
 
1.5%
921350
 
1.4%
01295
 
1.4%
911241
 
1.3%
Other values (90)47963
50.3%
ValueCountFrequency (%)
01295
1.4%
1106
 
0.1%
2167
 
0.2%
3191
 
0.2%
4230
 
0.2%
ValueCountFrequency (%)
9926659
27.9%
985650
 
5.9%
973321
 
3.5%
962679
 
2.8%
952106
 
2.2%

HVP6
Real number (ℝ≥0)

ZEROS

Distinct100
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean6.446348468
Minimum0
Maximum99
Zeros61118
Zeros (%)64.1%
Negative0
Negative (%)0.0%
Memory size745.5 KiB
2022-11-23T02:49:49.042094image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q32
95-th percentile51
Maximum99
Range99
Interquartile range (IQR)2

Descriptive statistics

Standard deviation18.06489542
Coefficient of variation (CV)2.80234547
Kurtosis11.71623801
Mean6.446348468
Median Absolute Deviation (MAD)0
Skewness3.478576091
Sum615059
Variance326.3404467
MonotonicityNot monotonic
2022-11-23T02:49:49.115085image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
061118
64.1%
110168
 
10.7%
23653
 
3.8%
32230
 
2.3%
41565
 
1.6%
51220
 
1.3%
6914
 
1.0%
7732
 
0.8%
8611
 
0.6%
9549
 
0.6%
Other values (90)12652
 
13.3%
ValueCountFrequency (%)
061118
64.1%
110168
 
10.7%
23653
 
3.8%
32230
 
2.3%
41565
 
1.6%
ValueCountFrequency (%)
99162
0.2%
98125
0.1%
97133
0.1%
96116
0.1%
95118
0.1%

HUR1
Real number (ℝ≥0)

ZEROS

Distinct96
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean4.854284576
Minimum0
Maximum99
Zeros17095
Zeros (%)17.9%
Negative0
Negative (%)0.0%
Memory size745.5 KiB
2022-11-23T02:49:49.189597image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q11
median2
Q36
95-th percentile18
Maximum99
Range99
Interquartile range (IQR)5

Descriptive statistics

Standard deviation7.545468633
Coefficient of variation (CV)1.55439355
Kurtosis25.55590795
Mean4.854284576
Median Absolute Deviation (MAD)2
Skewness4.079610241
Sum463157
Variance56.93409689
MonotonicityNot monotonic
2022-11-23T02:49:49.262469image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
118487
19.4%
017095
17.9%
213924
14.6%
39691
10.2%
46732
 
7.1%
55144
 
5.4%
63813
 
4.0%
72924
 
3.1%
82452
 
2.6%
91900
 
2.0%
Other values (86)13250
13.9%
ValueCountFrequency (%)
017095
17.9%
118487
19.4%
213924
14.6%
39691
10.2%
46732
 
7.1%
ValueCountFrequency (%)
9915
< 0.1%
971
 
< 0.1%
961
 
< 0.1%
953
 
< 0.1%
931
 
< 0.1%

HUR2
Real number (ℝ≥0)

Distinct100
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean45.74819729
Minimum0
Maximum99
Zeros945
Zeros (%)1.0%
Negative0
Negative (%)0.0%
Memory size745.5 KiB
2022-11-23T02:49:49.336720image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile11
Q132
median44
Q359
95-th percentile86
Maximum99
Range99
Interquartile range (IQR)27

Descriptive statistics

Standard deviation21.4389112
Coefficient of variation (CV)0.4686285465
Kurtosis-0.3107415682
Mean45.74819729
Median Absolute Deviation (MAD)14
Skewness0.2521704525
Sum4364927
Variance459.6269135
MonotonicityNot monotonic
2022-11-23T02:49:49.410129image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
412114
 
2.2%
402091
 
2.2%
392068
 
2.2%
422065
 
2.2%
362060
 
2.2%
382026
 
2.1%
442023
 
2.1%
372014
 
2.1%
431965
 
2.1%
341847
 
1.9%
Other values (90)75139
78.8%
ValueCountFrequency (%)
0945
1.0%
1278
 
0.3%
2287
 
0.3%
3287
 
0.3%
4347
 
0.4%
ValueCountFrequency (%)
99163
0.2%
98220
0.2%
97286
0.3%
96276
0.3%
95323
0.3%

RHP1
Real number (ℝ≥0)

Distinct82
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean52.93528068
Minimum0
Maximum85
Zeros812
Zeros (%)0.9%
Negative0
Negative (%)0.0%
Memory size745.5 KiB
2022-11-23T02:49:49.485238image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile37
Q148
median52
Q358
95-th percentile71
Maximum85
Range85
Interquartile range (IQR)10

Descriptive statistics

Standard deviation10.7349103
Coefficient of variation (CV)0.2027931119
Kurtosis4.527067762
Mean52.93528068
Median Absolute Deviation (MAD)5
Skewness-0.731664744
Sum5050661
Variance115.2382991
MonotonicityNot monotonic
2022-11-23T02:49:49.553094image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
495175
 
5.4%
525124
 
5.4%
514980
 
5.2%
504961
 
5.2%
534687
 
4.9%
484686
 
4.9%
544255
 
4.5%
554116
 
4.3%
563961
 
4.2%
473886
 
4.1%
Other values (72)49581
52.0%
ValueCountFrequency (%)
0812
0.9%
512
 
< 0.1%
61
 
< 0.1%
75
 
< 0.1%
810
 
< 0.1%
ValueCountFrequency (%)
852
 
< 0.1%
8449
 
0.1%
83146
0.2%
82224
0.2%
81337
0.4%

RHP2
Real number (ℝ≥0)

Distinct81
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean53.76927431
Minimum0
Maximum90
Zeros812
Zeros (%)0.9%
Negative0
Negative (%)0.0%
Memory size745.5 KiB
2022-11-23T02:49:49.700378image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile38
Q149
median54
Q359
95-th percentile70
Maximum90
Range90
Interquartile range (IQR)10

Descriptive statistics

Standard deviation10.4147823
Coefficient of variation (CV)0.1936939346
Kurtosis5.448183358
Mean53.76927431
Median Absolute Deviation (MAD)5
Skewness-1.021923206
Sum5130234
Variance108.4676904
MonotonicityNot monotonic
2022-11-23T02:49:49.768860image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
535681
 
6.0%
525573
 
5.8%
545509
 
5.8%
554918
 
5.2%
514858
 
5.1%
504490
 
4.7%
564367
 
4.6%
573981
 
4.2%
493806
 
4.0%
583734
 
3.9%
Other values (71)48495
50.8%
ValueCountFrequency (%)
0812
0.9%
1012
 
< 0.1%
123
 
< 0.1%
138
 
< 0.1%
147
 
< 0.1%
ValueCountFrequency (%)
901
 
< 0.1%
891
 
< 0.1%
883
 
< 0.1%
879
 
< 0.1%
8628
< 0.1%

RHP3
Real number (ℝ≥0)

Distinct27
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean14.13633505
Minimum0
Maximum61
Zeros799
Zeros (%)0.8%
Negative0
Negative (%)0.0%
Memory size745.5 KiB
2022-11-23T02:49:49.832063image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile10
Q113
median14
Q315
95-th percentile18
Maximum61
Range61
Interquartile range (IQR)2

Descriptive statistics

Standard deviation2.559830137
Coefficient of variation (CV)0.1810815977
Kurtosis12.69801567
Mean14.13633505
Median Absolute Deviation (MAD)1
Skewness-0.5409737095
Sum1348776
Variance6.552730331
MonotonicityNot monotonic
2022-11-23T02:49:49.889963image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram with fixed size bins (bins=27)
ValueCountFrequency (%)
1421457
22.5%
1517352
18.2%
1317192
18.0%
1610045
10.5%
128909
9.3%
175202
 
5.5%
104104
 
4.3%
113954
 
4.1%
182692
 
2.8%
191392
 
1.5%
Other values (17)3113
 
3.3%
ValueCountFrequency (%)
0799
 
0.8%
104104
 
4.3%
113954
 
4.1%
128909
9.3%
1317192
18.0%
ValueCountFrequency (%)
614
< 0.1%
412
 
< 0.1%
331
 
< 0.1%
322
 
< 0.1%
317
< 0.1%

RHP4
Real number (ℝ≥0)

Distinct25
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean4.392162411
Minimum0
Maximum40
Zeros827
Zeros (%)0.9%
Negative0
Negative (%)0.0%
Memory size745.5 KiB
2022-11-23T02:49:49.952710image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile3
Q14
median4
Q35
95-th percentile6
Maximum40
Range40
Interquartile range (IQR)1

Descriptive statistics

Standard deviation1.182950447
Coefficient of variation (CV)0.2693321276
Kurtosis30.34542908
Mean4.392162411
Median Absolute Deviation (MAD)1
Skewness2.003416722
Sum419065
Variance1.399371761
MonotonicityNot monotonic
2022-11-23T02:49:50.010169image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram with fixed size bins (bins=25)
ValueCountFrequency (%)
445391
47.6%
530151
31.6%
39439
 
9.9%
64794
 
5.0%
71661
 
1.7%
21222
 
1.3%
0827
 
0.9%
8738
 
0.8%
9377
 
0.4%
1286
 
0.3%
Other values (15)526
 
0.6%
ValueCountFrequency (%)
0827
 
0.9%
1286
 
0.3%
21222
 
1.3%
39439
 
9.9%
445391
47.6%
ValueCountFrequency (%)
402
< 0.1%
271
< 0.1%
222
< 0.1%
211
< 0.1%
201
< 0.1%

HUPA1
Real number (ℝ≥0)

ZEROS

Distinct96
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean10.15429925
Minimum0
Maximum99
Zeros17899
Zeros (%)18.8%
Negative0
Negative (%)0.0%
Memory size745.5 KiB
2022-11-23T02:49:50.080270image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q11
median5
Q315
95-th percentile36
Maximum99
Range99
Interquartile range (IQR)14

Descriptive statistics

Standard deviation12.79033427
Coefficient of variation (CV)1.259597926
Kurtosis5.704420246
Mean10.15429925
Median Absolute Deviation (MAD)5
Skewness2.113714673
Sum968842
Variance163.5926508
MonotonicityNot monotonic
2022-11-23T02:49:50.152890image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
017899
18.8%
19897
 
10.4%
26320
 
6.6%
35162
 
5.4%
44634
 
4.9%
53993
 
4.2%
63629
 
3.8%
73287
 
3.4%
82957
 
3.1%
92757
 
2.9%
Other values (86)34877
36.6%
ValueCountFrequency (%)
017899
18.8%
19897
10.4%
26320
 
6.6%
35162
 
5.4%
44634
 
4.9%
ValueCountFrequency (%)
998
< 0.1%
952
 
< 0.1%
933
 
< 0.1%
927
< 0.1%
919
< 0.1%

HUPA2
Real number (ℝ≥0)

ZEROS

Distinct100
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean9.313996143
Minimum0
Maximum99
Zeros44554
Zeros (%)46.7%
Negative0
Negative (%)0.0%
Memory size745.5 KiB
2022-11-23T02:49:50.225733image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median1
Q311
95-th percentile48
Maximum99
Range99
Interquartile range (IQR)11

Descriptive statistics

Standard deviation17.10943011
Coefficient of variation (CV)1.836959115
Kurtosis6.86890264
Mean9.313996143
Median Absolute Deviation (MAD)1
Skewness2.551493408
Sum888667
Variance292.7325989
MonotonicityNot monotonic
2022-11-23T02:49:50.297105image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
044554
46.7%
16831
 
7.2%
24362
 
4.6%
33324
 
3.5%
42617
 
2.7%
52202
 
2.3%
61805
 
1.9%
71773
 
1.9%
81510
 
1.6%
91205
 
1.3%
Other values (90)25229
26.4%
ValueCountFrequency (%)
044554
46.7%
16831
 
7.2%
24362
 
4.6%
33324
 
3.5%
42617
 
2.7%
ValueCountFrequency (%)
9953
0.1%
9846
< 0.1%
9749
0.1%
9665
0.1%
9562
0.1%

HUPA3
Real number (ℝ≥0)

ZEROS

Distinct100
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean8.550863623
Minimum0
Maximum99
Zeros48359
Zeros (%)50.7%
Negative0
Negative (%)0.0%
Memory size745.5 KiB
2022-11-23T02:49:50.369818image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q313
95-th percentile37
Maximum99
Range99
Interquartile range (IQR)13

Descriptive statistics

Standard deviation14.40338161
Coefficient of variation (CV)1.684435894
Kurtosis7.386844148
Mean8.550863623
Median Absolute Deviation (MAD)0
Skewness2.434543326
Sum815855
Variance207.4574018
MonotonicityNot monotonic
2022-11-23T02:49:50.441057image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
048359
50.7%
15028
 
5.3%
22402
 
2.5%
31818
 
1.9%
41703
 
1.8%
51698
 
1.8%
81518
 
1.6%
61509
 
1.6%
71490
 
1.6%
91429
 
1.5%
Other values (90)28458
29.8%
ValueCountFrequency (%)
048359
50.7%
15028
 
5.3%
22402
 
2.5%
31818
 
1.9%
41703
 
1.8%
ValueCountFrequency (%)
9954
0.1%
9827
< 0.1%
9721
 
< 0.1%
9616
 
< 0.1%
9512
 
< 0.1%

HUPA4
Real number (ℝ≥0)

ZEROS

Distinct97
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean11.15870121
Minimum0
Maximum99
Zeros2067
Zeros (%)2.2%
Negative0
Negative (%)0.0%
Memory size745.5 KiB
2022-11-23T02:49:50.513684image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile2
Q16
median10
Q315
95-th percentile25
Maximum99
Range99
Interquartile range (IQR)9

Descriptive statistics

Standard deviation7.795425802
Coefficient of variation (CV)0.6985961586
Kurtosis11.57585766
Mean11.15870121
Median Absolute Deviation (MAD)4
Skewness2.086421988
Sum1064674
Variance60.76866343
MonotonicityNot monotonic
2022-11-23T02:49:50.585575image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
86111
 
6.4%
95902
 
6.2%
75902
 
6.2%
105827
 
6.1%
65641
 
5.9%
115423
 
5.7%
55285
 
5.5%
134962
 
5.2%
124936
 
5.2%
44834
 
5.1%
Other values (87)40589
42.5%
ValueCountFrequency (%)
02067
2.2%
12219
2.3%
23409
3.6%
34123
4.3%
44834
5.1%
ValueCountFrequency (%)
9916
< 0.1%
982
 
< 0.1%
974
 
< 0.1%
961
 
< 0.1%
952
 
< 0.1%

HUPA5
Real number (ℝ≥0)

ZEROS

Distinct77
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean5.219878003
Minimum0
Maximum99
Zeros25513
Zeros (%)26.7%
Negative0
Negative (%)0.0%
Memory size745.5 KiB
2022-11-23T02:49:50.658898image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median2
Q37
95-th percentile20
Maximum99
Range99
Interquartile range (IQR)7

Descriptive statistics

Standard deviation7.459755092
Coefficient of variation (CV)1.429105257
Kurtosis10.87969161
Mean5.219878003
Median Absolute Deviation (MAD)2
Skewness2.733353198
Sum498039
Variance55.64794604
MonotonicityNot monotonic
2022-11-23T02:49:50.803020image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
025513
26.7%
113592
14.2%
29143
 
9.6%
37160
 
7.5%
45772
 
6.0%
54819
 
5.1%
63912
 
4.1%
73394
 
3.6%
82890
 
3.0%
92363
 
2.5%
Other values (67)16854
17.7%
ValueCountFrequency (%)
025513
26.7%
113592
14.2%
29143
 
9.6%
37160
 
7.5%
45772
 
6.0%
ValueCountFrequency (%)
994
< 0.1%
872
< 0.1%
861
 
< 0.1%
841
 
< 0.1%
832
< 0.1%

HUPA6
Real number (ℝ≥0)

ZEROS

Distinct100
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean11.00535572
Minimum0
Maximum99
Zeros36538
Zeros (%)38.3%
Negative0
Negative (%)0.0%
Memory size745.5 KiB
2022-11-23T02:49:50.877719image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median2
Q315
95-th percentile52
Maximum99
Range99
Interquartile range (IQR)15

Descriptive statistics

Standard deviation17.80802291
Coefficient of variation (CV)1.618123336
Kurtosis4.896115775
Mean11.00535572
Median Absolute Deviation (MAD)2
Skewness2.205810565
Sum1050043
Variance317.1256801
MonotonicityNot monotonic
2022-11-23T02:49:50.948442image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
036538
38.3%
16863
 
7.2%
24742
 
5.0%
33918
 
4.1%
43005
 
3.1%
52591
 
2.7%
72129
 
2.2%
62082
 
2.2%
81807
 
1.9%
91572
 
1.6%
Other values (90)30165
31.6%
ValueCountFrequency (%)
036538
38.3%
16863
 
7.2%
24742
 
5.0%
33918
 
4.1%
43005
 
3.1%
ValueCountFrequency (%)
9936
< 0.1%
9828
< 0.1%
9745
< 0.1%
9632
< 0.1%
9545
< 0.1%

HUPA7
Real number (ℝ≥0)

ZEROS

Distinct48
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1.612606381
Minimum0
Maximum99
Zeros55704
Zeros (%)58.4%
Negative0
Negative (%)0.0%
Memory size745.5 KiB
2022-11-23T02:49:51.019710image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q32
95-th percentile7
Maximum99
Range99
Interquartile range (IQR)2

Descriptive statistics

Standard deviation3.021739397
Coefficient of variation (CV)1.873823292
Kurtosis67.43184087
Mean1.612606381
Median Absolute Deviation (MAD)0
Skewness4.855494127
Sum153862
Variance9.130908984
MonotonicityNot monotonic
2022-11-23T02:49:51.091048image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram with fixed size bins (bins=48)
ValueCountFrequency (%)
055704
58.4%
19687
 
10.2%
27260
 
7.6%
36117
 
6.4%
44869
 
5.1%
53538
 
3.7%
62458
 
2.6%
71622
 
1.7%
81105
 
1.2%
9780
 
0.8%
Other values (38)2272
 
2.4%
ValueCountFrequency (%)
055704
58.4%
19687
 
10.2%
27260
 
7.6%
36117
 
6.4%
44869
 
5.1%
ValueCountFrequency (%)
993
< 0.1%
981
 
< 0.1%
493
< 0.1%
481
 
< 0.1%
462
< 0.1%

RP1
Real number (ℝ≥0)

ZEROS

Distinct100
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean29.14110384
Minimum0
Maximum99
Zeros16042
Zeros (%)16.8%
Negative0
Negative (%)0.0%
Memory size745.5 KiB
2022-11-23T02:49:51.165160image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q12
median14
Q354
95-th percentile92
Maximum99
Range99
Interquartile range (IQR)52

Descriptive statistics

Standard deviation32.19514487
Coefficient of variation (CV)1.104801831
Kurtosis-0.7649527509
Mean29.14110384
Median Absolute Deviation (MAD)14
Skewness0.8352385416
Sum2780411
Variance1036.527353
MonotonicityNot monotonic
2022-11-23T02:49:51.235773image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
016042
 
16.8%
17380
 
7.7%
24655
 
4.9%
33296
 
3.5%
42615
 
2.7%
52311
 
2.4%
61897
 
2.0%
71695
 
1.8%
81482
 
1.6%
91366
 
1.4%
Other values (90)52673
55.2%
ValueCountFrequency (%)
016042
16.8%
17380
7.7%
24655
 
4.9%
33296
 
3.5%
42615
 
2.7%
ValueCountFrequency (%)
99779
0.8%
98449
0.5%
97586
0.6%
96642
0.7%
95627
0.7%

RP2
Real number (ℝ≥0)

ZEROS

Distinct100
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean42.36637949
Minimum0
Maximum99
Zeros6483
Zeros (%)6.8%
Negative0
Negative (%)0.0%
Memory size745.5 KiB
2022-11-23T02:49:51.307674image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q17
median36
Q377
95-th percentile96
Maximum99
Range99
Interquartile range (IQR)70

Descriptive statistics

Standard deviation34.93084028
Coefficient of variation (CV)0.8244943442
Kurtosis-1.484011829
Mean42.36637949
Median Absolute Deviation (MAD)32
Skewness0.2490301946
Sum4042261
Variance1220.163602
MonotonicityNot monotonic
2022-11-23T02:49:51.379057image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
06483
 
6.8%
14087
 
4.3%
23250
 
3.4%
32659
 
2.8%
42238
 
2.3%
52069
 
2.2%
61792
 
1.9%
71572
 
1.6%
991551
 
1.6%
81506
 
1.6%
Other values (90)68205
71.5%
ValueCountFrequency (%)
06483
6.8%
14087
4.3%
23250
3.4%
32659
2.8%
42238
 
2.3%
ValueCountFrequency (%)
991551
1.6%
981209
1.3%
971492
1.6%
961482
1.6%
951474
1.5%

RP3
Real number (ℝ≥0)

ZEROS

Distinct100
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean59.68197921
Minimum0
Maximum99
Zeros1723
Zeros (%)1.8%
Negative0
Negative (%)0.0%
Memory size745.5 KiB
2022-11-23T02:49:51.451647image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile4
Q129
median68
Q391
95-th percentile98
Maximum99
Range99
Interquartile range (IQR)62

Descriptive statistics

Standard deviation32.89387376
Coefficient of variation (CV)0.5511525288
Kurtosis-1.283857923
Mean59.68197921
Median Absolute Deviation (MAD)26
Skewness-0.4228714687
Sum5694377
Variance1082.006931
MonotonicityNot monotonic
2022-11-23T02:49:51.524332image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
993826
 
4.0%
973287
 
3.4%
983088
 
3.2%
962974
 
3.1%
952647
 
2.8%
942399
 
2.5%
932168
 
2.3%
921883
 
2.0%
901758
 
1.8%
01723
 
1.8%
Other values (90)69659
73.0%
ValueCountFrequency (%)
01723
1.8%
1650
 
0.7%
2944
1.0%
31048
1.1%
41085
1.1%
ValueCountFrequency (%)
993826
4.0%
983088
3.2%
973287
3.4%
962974
3.1%
952647
2.8%

RP4
Real number (ℝ≥0)

ZEROS

Distinct100
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean76.5225653
Minimum0
Maximum99
Zeros963
Zeros (%)1.0%
Negative0
Negative (%)0.0%
Memory size745.5 KiB
2022-11-23T02:49:51.598653image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile23
Q164
median86
Q395
95-th percentile99
Maximum99
Range99
Interquartile range (IQR)31

Descriptive statistics

Standard deviation24.2758518
Coefficient of variation (CV)0.31723782
Kurtosis0.7414305579
Mean76.5225653
Median Absolute Deviation (MAD)11
Skewness-1.264470749
Sum7301171
Variance589.3169804
MonotonicityNot monotonic
2022-11-23T02:49:51.671354image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
997684
 
8.1%
985918
 
6.2%
975305
 
5.6%
964593
 
4.8%
953977
 
4.2%
943407
 
3.6%
932977
 
3.1%
922683
 
2.8%
912467
 
2.6%
902276
 
2.4%
Other values (90)54125
56.7%
ValueCountFrequency (%)
0963
1.0%
15
 
< 0.1%
217
 
< 0.1%
337
 
< 0.1%
446
 
< 0.1%
ValueCountFrequency (%)
997684
8.1%
985918
6.2%
975305
5.6%
964593
4.8%
953977
4.2%

MSA
Real number (ℝ≥0)

ZEROS

Distinct298
Distinct (%)0.3%
Missing132
Missing (%)0.1%
Infinite0
Infinite (%)0.0%
Mean3527.744102
Minimum0
Maximum9360
Zeros21333
Zeros (%)22.4%
Negative0
Negative (%)0.0%
Memory size745.5 KiB
2022-11-23T02:49:51.744429image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q1520
median3350
Q35960
95-th percentile8280
Maximum9360
Range9360
Interquartile range (IQR)5440

Descriptive statistics

Standard deviation2863.904737
Coefficient of variation (CV)0.8118232656
Kurtosis-1.280158991
Mean3527.744102
Median Absolute Deviation (MAD)2770
Skewness0.2312302894
Sum336123458
Variance8201950.341
MonotonicityNot monotonic
2022-11-23T02:49:51.884263image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
021333
 
22.4%
44804606
 
4.8%
16004059
 
4.3%
21602586
 
2.7%
5201685
 
1.8%
67801525
 
1.6%
59451500
 
1.6%
73201472
 
1.5%
76001457
 
1.5%
33601414
 
1.5%
Other values (288)53643
56.2%
ValueCountFrequency (%)
021333
22.4%
4052
 
0.1%
802
 
< 0.1%
12048
 
0.1%
1606
 
< 0.1%
ValueCountFrequency (%)
936066
0.1%
934070
0.1%
93202
 
< 0.1%
92801
 
< 0.1%
927076
0.1%

ADI
Real number (ℝ≥0)

Distinct204
Distinct (%)0.2%
Missing132
Missing (%)0.1%
Infinite0
Infinite (%)0.0%
Mean187.3564022
Minimum0
Maximum651
Zeros843
Zeros (%)0.9%
Negative0
Negative (%)0.0%
Memory size745.5 KiB
2022-11-23T02:49:51.953898image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile13
Q165
median175
Q3279
95-th percentile433
Maximum651
Range651
Interquartile range (IQR)214

Descriptive statistics

Standard deviation137.0191839
Coefficient of variation (CV)0.7313290728
Kurtosis-0.1978271293
Mean187.3564022
Median Absolute Deviation (MAD)108
Skewness0.6755885753
Sum17851318
Variance18774.25675
MonotonicityNot monotonic
2022-11-23T02:49:52.021650image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
137296
 
7.6%
514622
 
4.8%
653765
 
3.9%
572836
 
3.0%
1052617
 
2.7%
1972075
 
2.2%
1092054
 
2.2%
1311978
 
2.1%
671847
 
1.9%
2011772
 
1.9%
Other values (194)64418
67.5%
ValueCountFrequency (%)
0843
 
0.9%
329
 
< 0.1%
968
 
0.1%
1125
 
< 0.1%
137296
7.6%
ValueCountFrequency (%)
6511
 
< 0.1%
645257
0.3%
62728
 
< 0.1%
62563
 
0.1%
621118
0.1%

DMA
Real number (ℝ≥0)

Distinct206
Distinct (%)0.2%
Missing132
Missing (%)0.1%
Infinite0
Infinite (%)0.0%
Mean664.0040722
Minimum0
Maximum881
Zeros187
Zeros (%)0.2%
Negative0
Negative (%)0.0%
Memory size745.5 KiB
2022-11-23T02:49:52.095195image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile513
Q1561
median635
Q3801
95-th percentile828
Maximum881
Range881
Interquartile range (IQR)240

Descriptive statistics

Standard deviation116.3636002
Coefficient of variation (CV)0.1752453111
Kurtosis0.5573482571
Mean664.0040722
Median Absolute Deviation (MAD)101
Skewness-0.1067480816
Sum63266308
Variance13540.48746
MonotonicityNot monotonic
2022-11-23T02:49:52.163890image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
8037296
 
7.6%
6024632
 
4.9%
8073765
 
3.9%
5052839
 
3.0%
8192588
 
2.7%
5392222
 
2.3%
5242079
 
2.2%
6232009
 
2.1%
8621847
 
1.9%
7531780
 
1.9%
Other values (196)64223
67.3%
ValueCountFrequency (%)
0187
0.2%
5008
 
< 0.1%
50168
 
0.1%
5022
 
< 0.1%
503245
0.3%
ValueCountFrequency (%)
881640
 
0.7%
868345
 
0.4%
866582
 
0.6%
8621847
1.9%
855413
 
0.4%

IC1
Real number (ℝ≥0)

Distinct1134
Distinct (%)1.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean340.056387
Minimum0
Maximum1500
Zeros878
Zeros (%)0.9%
Negative0
Negative (%)0.0%
Memory size745.5 KiB
2022-11-23T02:49:52.234693image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile151
Q1231
median310
Q3414
95-th percentile631
Maximum1500
Range1500
Interquartile range (IQR)183

Descriptive statistics

Standard deviation162.8832831
Coefficient of variation (CV)0.4789890422
Kurtosis6.017920212
Mean340.056387
Median Absolute Deviation (MAD)89
Skewness1.674610866
Sum32445460
Variance26530.96392
MonotonicityNot monotonic
2022-11-23T02:49:52.303962image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0878
 
0.9%
263426
 
0.4%
313411
 
0.4%
213409
 
0.4%
258402
 
0.4%
218397
 
0.4%
311386
 
0.4%
272379
 
0.4%
261369
 
0.4%
249369
 
0.4%
Other values (1124)90986
95.4%
ValueCountFrequency (%)
0878
0.9%
5052
 
0.1%
517
 
< 0.1%
524
 
< 0.1%
536
 
< 0.1%
ValueCountFrequency (%)
150093
0.1%
14901
 
< 0.1%
14881
 
< 0.1%
14681
 
< 0.1%
14491
 
< 0.1%

IC2
Real number (ℝ≥0)

Distinct1213
Distinct (%)1.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean387.027114
Minimum0
Maximum1500
Zeros928
Zeros (%)1.0%
Negative0
Negative (%)0.0%
Memory size745.5 KiB
2022-11-23T02:49:52.378309image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile186
Q1274
median355
Q3465
95-th percentile690
Maximum1500
Range1500
Interquartile range (IQR)191

Descriptive statistics

Standard deviation173.6146271
Coefficient of variation (CV)0.4485851788
Kurtosis5.90131063
Mean387.027114
Median Absolute Deviation (MAD)92
Skewness1.661686605
Sum36927031
Variance30142.03875
MonotonicityNot monotonic
2022-11-23T02:49:52.447598image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0928
 
1.0%
288467
 
0.5%
313390
 
0.4%
263376
 
0.4%
315376
 
0.4%
308371
 
0.4%
321362
 
0.4%
323357
 
0.4%
261357
 
0.4%
310356
 
0.4%
Other values (1203)91072
95.5%
ValueCountFrequency (%)
0928
1.0%
5041
 
< 0.1%
511
 
< 0.1%
538
 
< 0.1%
5410
 
< 0.1%
ValueCountFrequency (%)
1500143
0.1%
14962
 
< 0.1%
14932
 
< 0.1%
14881
 
< 0.1%
14823
 
< 0.1%

IC3
Real number (ℝ≥0)

Distinct1091
Distinct (%)1.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean387.4183017
Minimum0
Maximum1500
Zeros878
Zeros (%)0.9%
Negative0
Negative (%)0.0%
Memory size745.5 KiB
2022-11-23T02:49:52.522094image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile199
Q1277
median354
Q3466
95-th percentile697
Maximum1500
Range1500
Interquartile range (IQR)189

Descriptive statistics

Standard deviation161.270738
Coefficient of variation (CV)0.4162703138
Kurtosis2.374992299
Mean387.4183017
Median Absolute Deviation (MAD)89
Skewness1.168304734
Sum36964355
Variance26008.25094
MonotonicityNot monotonic
2022-11-23T02:49:52.591227image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0878
 
0.9%
271393
 
0.4%
278378
 
0.4%
280377
 
0.4%
279373
 
0.4%
311372
 
0.4%
290370
 
0.4%
310360
 
0.4%
298360
 
0.4%
277359
 
0.4%
Other values (1081)91192
95.6%
ValueCountFrequency (%)
0878
0.9%
257
 
< 0.1%
411
 
< 0.1%
421
 
< 0.1%
491
 
< 0.1%
ValueCountFrequency (%)
15002
< 0.1%
13941
< 0.1%
13591
< 0.1%
13112
< 0.1%
13071
< 0.1%

IC4
Real number (ℝ≥0)

Distinct1156
Distinct (%)1.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean430.7929611
Minimum0
Maximum1500
Zeros928
Zeros (%)1.0%
Negative0
Negative (%)0.0%
Memory size745.5 KiB
2022-11-23T02:49:52.665392image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile228
Q1314
median397
Q3514
95-th percentile758
Maximum1500
Range1500
Interquartile range (IQR)200

Descriptive statistics

Standard deviation171.643319
Coefficient of variation (CV)0.3984357557
Kurtosis2.179885148
Mean430.7929611
Median Absolute Deviation (MAD)94
Skewness1.088427179
Sum41102818
Variance29461.42896
MonotonicityNot monotonic
2022-11-23T02:49:52.734020image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0928
 
1.0%
344370
 
0.4%
320350
 
0.4%
325347
 
0.4%
346346
 
0.4%
338343
 
0.4%
313343
 
0.4%
343343
 
0.4%
329338
 
0.4%
330336
 
0.4%
Other values (1146)91368
95.8%
ValueCountFrequency (%)
0928
1.0%
255
 
< 0.1%
421
 
< 0.1%
471
 
< 0.1%
572
 
< 0.1%
ValueCountFrequency (%)
15003
< 0.1%
14533
< 0.1%
13941
 
< 0.1%
13771
 
< 0.1%
13752
< 0.1%

IC5
Real number (ℝ≥0)

Distinct21514
Distinct (%)22.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean15722.73823
Minimum0
Maximum174523
Zeros860
Zeros (%)0.9%
Negative0
Negative (%)0.0%
Memory size745.5 KiB
2022-11-23T02:49:52.807698image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile7574
Q110788
median13727.5
Q318169
95-th percentile30226.45
Maximum174523
Range174523
Interquartile range (IQR)7381

Descriptive statistics

Standard deviation8563.646776
Coefficient of variation (CV)0.5446663711
Kurtosis20.31954863
Mean15722.73823
Median Absolute Deviation (MAD)3452.5
Skewness3.195142773
Sum1500137900
Variance73336046.1
MonotonicityNot monotonic
2022-11-23T02:49:52.948771image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0860
 
0.9%
2287541
 
< 0.1%
1310327
 
< 0.1%
1257726
 
< 0.1%
1093126
 
< 0.1%
1734425
 
< 0.1%
1157625
 
< 0.1%
1356025
 
< 0.1%
1016425
 
< 0.1%
1245225
 
< 0.1%
Other values (21504)94307
98.8%
ValueCountFrequency (%)
0860
0.9%
9001
 
< 0.1%
13183
 
< 0.1%
15001
 
< 0.1%
19621
 
< 0.1%
ValueCountFrequency (%)
1745231
 
< 0.1%
1593063
< 0.1%
1302951
 
< 0.1%
1194541
 
< 0.1%
1126452
< 0.1%

IC6
Real number (ℝ≥0)

ZEROS

Distinct99
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean21.49793527
Minimum0
Maximum99
Zeros2177
Zeros (%)2.3%
Negative0
Negative (%)0.0%
Memory size745.5 KiB
2022-11-23T02:49:53.024463image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile3
Q110
median19
Q331
95-th percentile48
Maximum99
Range99
Interquartile range (IQR)21

Descriptive statistics

Standard deviation14.51059775
Coefficient of variation (CV)0.6749763441
Kurtosis0.8603870146
Mean21.49793527
Median Absolute Deviation (MAD)10
Skewness0.8738860447
Sum2051161
Variance210.5574472
MonotonicityNot monotonic
2022-11-23T02:49:53.096310image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
112887
 
3.0%
102848
 
3.0%
132789
 
2.9%
62739
 
2.9%
82730
 
2.9%
92725
 
2.9%
122711
 
2.8%
72680
 
2.8%
152658
 
2.8%
172636
 
2.8%
Other values (89)68009
71.3%
ValueCountFrequency (%)
02177
2.3%
1668
 
0.7%
21643
1.7%
32032
2.1%
42293
2.4%
ValueCountFrequency (%)
9927
< 0.1%
974
 
< 0.1%
961
 
< 0.1%
952
 
< 0.1%
944
 
< 0.1%

IC7
Real number (ℝ≥0)

ZEROS

Distinct65
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean16.90797803
Minimum0
Maximum99
Zeros1858
Zeros (%)1.9%
Negative0
Negative (%)0.0%
Memory size745.5 KiB
2022-11-23T02:49:53.169995image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile4
Q111
median17
Q322
95-th percentile29
Maximum99
Range99
Interquartile range (IQR)11

Descriptive statistics

Standard deviation7.959410377
Coefficient of variation (CV)0.4707488005
Kurtosis0.8649237884
Mean16.90797803
Median Absolute Deviation (MAD)5
Skewness0.175792535
Sum1613224
Variance63.35221355
MonotonicityNot monotonic
2022-11-23T02:49:53.241650image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
195125
 
5.4%
205110
 
5.4%
214978
 
5.2%
184816
 
5.0%
224468
 
4.7%
174397
 
4.6%
234257
 
4.5%
154243
 
4.4%
164099
 
4.3%
143903
 
4.1%
Other values (55)50016
52.4%
ValueCountFrequency (%)
01858
1.9%
1383
 
0.4%
21003
1.1%
31444
1.5%
41665
1.7%
ValueCountFrequency (%)
997
< 0.1%
821
 
< 0.1%
691
 
< 0.1%
641
 
< 0.1%
621
 
< 0.1%

IC8
Real number (ℝ≥0)

ZEROS

Distinct60
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean15.74737978
Minimum0
Maximum99
Zeros1582
Zeros (%)1.7%
Negative0
Negative (%)0.0%
Memory size745.5 KiB
2022-11-23T02:49:53.314156image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile5
Q112
median16
Q320
95-th percentile26
Maximum99
Range99
Interquartile range (IQR)8

Descriptive statistics

Standard deviation6.278436766
Coefficient of variation (CV)0.3986972342
Kurtosis2.541787091
Mean15.74737978
Median Absolute Deviation (MAD)4
Skewness0.2092212545
Sum1502489
Variance39.41876822
MonotonicityNot monotonic
2022-11-23T02:49:53.386825image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
167288
 
7.6%
176992
 
7.3%
186864
 
7.2%
156831
 
7.2%
146000
 
6.3%
195953
 
6.2%
135278
 
5.5%
204988
 
5.2%
124531
 
4.7%
214091
 
4.3%
Other values (50)36596
38.4%
ValueCountFrequency (%)
01582
1.7%
1203
 
0.2%
2491
 
0.5%
3743
0.8%
41113
1.2%
ValueCountFrequency (%)
995
< 0.1%
821
 
< 0.1%
671
 
< 0.1%
643
< 0.1%
631
 
< 0.1%

IC9
Real number (ℝ≥0)

ZEROS

Distinct66
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean18.33759904
Minimum0
Maximum99
Zeros1424
Zeros (%)1.5%
Negative0
Negative (%)0.0%
Memory size745.5 KiB
2022-11-23T02:49:53.460816image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile7
Q114
median18
Q323
95-th percentile31
Maximum99
Range99
Interquartile range (IQR)9

Descriptive statistics

Standard deviation7.438055883
Coefficient of variation (CV)0.4056177619
Kurtosis2.620556103
Mean18.33759904
Median Absolute Deviation (MAD)5
Skewness0.4067697437
Sum1749627
Variance55.32467532
MonotonicityNot monotonic
2022-11-23T02:49:53.532363image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
185431
 
5.7%
195366
 
5.6%
175361
 
5.6%
165235
 
5.5%
155082
 
5.3%
205033
 
5.3%
214971
 
5.2%
144823
 
5.1%
224693
 
4.9%
134135
 
4.3%
Other values (56)45282
47.5%
ValueCountFrequency (%)
01424
1.5%
198
 
0.1%
2272
 
0.3%
3440
 
0.5%
4612
0.6%
ValueCountFrequency (%)
9915
< 0.1%
721
 
< 0.1%
691
 
< 0.1%
671
 
< 0.1%
652
 
< 0.1%

IC10
Real number (ℝ≥0)

ZEROS

Distinct67
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean15.95146313
Minimum0
Maximum99
Zeros2525
Zeros (%)2.6%
Negative0
Negative (%)0.0%
Memory size745.5 KiB
2022-11-23T02:49:53.605011image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile3
Q18
median15
Q322
95-th percentile34
Maximum99
Range99
Interquartile range (IQR)14

Descriptive statistics

Standard deviation9.686003334
Coefficient of variation (CV)0.607217235
Kurtosis0.4463382338
Mean15.95146313
Median Absolute Deviation (MAD)7
Skewness0.6830494036
Sum1521961
Variance93.81866059
MonotonicityNot monotonic
2022-11-23T02:49:53.678246image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
84235
 
4.4%
94218
 
4.4%
104217
 
4.4%
74161
 
4.4%
113914
 
4.1%
123801
 
4.0%
63781
 
4.0%
143594
 
3.8%
133590
 
3.8%
153525
 
3.7%
Other values (57)56376
59.1%
ValueCountFrequency (%)
02525
2.6%
1479
 
0.5%
21318
1.4%
31987
2.1%
42597
2.7%
ValueCountFrequency (%)
998
< 0.1%
681
 
< 0.1%
651
 
< 0.1%
642
 
< 0.1%
632
 
< 0.1%

IC11
Real number (ℝ≥0)

ZEROS

Distinct50
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean5.586247013
Minimum0
Maximum99
Zeros14562
Zeros (%)15.3%
Negative0
Negative (%)0.0%
Memory size745.5 KiB
2022-11-23T02:49:53.752990image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q11
median4
Q38
95-th percentile18
Maximum99
Range99
Interquartile range (IQR)7

Descriptive statistics

Standard deviation5.835321056
Coefficient of variation (CV)1.044587009
Kurtosis3.709101757
Mean5.586247013
Median Absolute Deviation (MAD)3
Skewness1.655086036
Sum532995
Variance34.05097183
MonotonicityNot monotonic
2022-11-23T02:49:53.824119image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
014562
15.3%
212610
13.2%
19881
10.4%
39669
10.1%
47375
 
7.7%
56209
 
6.5%
64995
 
5.2%
74237
 
4.4%
83669
 
3.8%
93124
 
3.3%
Other values (40)19081
20.0%
ValueCountFrequency (%)
014562
15.3%
19881
10.4%
212610
13.2%
39669
10.1%
47375
7.7%
ValueCountFrequency (%)
991
 
< 0.1%
553
< 0.1%
541
 
< 0.1%
531
 
< 0.1%
521
 
< 0.1%

IC12
Real number (ℝ≥0)

ZEROS

Distinct36
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2.211891586
Minimum0
Maximum50
Zeros38694
Zeros (%)40.6%
Negative0
Negative (%)0.0%
Memory size745.5 KiB
2022-11-23T02:49:53.890354image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median1
Q33
95-th percentile9
Maximum50
Range50
Interquartile range (IQR)3

Descriptive statistics

Standard deviation3.346289308
Coefficient of variation (CV)1.512863166
Kurtosis9.077857499
Mean2.211891586
Median Absolute Deviation (MAD)1
Skewness2.572769254
Sum211041
Variance11.19765213
MonotonicityNot monotonic
2022-11-23T02:49:54.026504image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram with fixed size bins (bins=36)
ValueCountFrequency (%)
038694
40.6%
118147
19.0%
211652
 
12.2%
37107
 
7.4%
44648
 
4.9%
53375
 
3.5%
62469
 
2.6%
71953
 
2.0%
81521
 
1.6%
91299
 
1.4%
Other values (26)4547
 
4.8%
ValueCountFrequency (%)
038694
40.6%
118147
19.0%
211652
 
12.2%
37107
 
7.4%
44648
 
4.9%
ValueCountFrequency (%)
502
 
< 0.1%
362
 
< 0.1%
351
 
< 0.1%
332
 
< 0.1%
317
< 0.1%

IC13
Real number (ℝ≥0)

ZEROS

Distinct31
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.935699912
Minimum0
Maximum61
Zeros61424
Zeros (%)64.4%
Negative0
Negative (%)0.0%
Memory size745.5 KiB
2022-11-23T02:49:54.088525image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q31
95-th percentile5
Maximum61
Range61
Interquartile range (IQR)1

Descriptive statistics

Standard deviation1.923140109
Coefficient of variation (CV)2.055295811
Kurtosis41.49003611
Mean0.935699912
Median Absolute Deviation (MAD)0
Skewness4.167247465
Sum89277
Variance3.698467881
MonotonicityNot monotonic
2022-11-23T02:49:54.147545image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram with fixed size bins (bins=31)
ValueCountFrequency (%)
061424
64.4%
114627
 
15.3%
27735
 
8.1%
33988
 
4.2%
42535
 
2.7%
51560
 
1.6%
61142
 
1.2%
7687
 
0.7%
8555
 
0.6%
9338
 
0.4%
Other values (21)821
 
0.9%
ValueCountFrequency (%)
061424
64.4%
114627
 
15.3%
27735
 
8.1%
33988
 
4.2%
42535
 
2.7%
ValueCountFrequency (%)
612
< 0.1%
461
< 0.1%
451
< 0.1%
281
< 0.1%
271
< 0.1%

IC14
Real number (ℝ≥0)

ZEROS

Distinct71
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1.888588438
Minimum0
Maximum99
Zeros52170
Zeros (%)54.7%
Negative0
Negative (%)0.0%
Memory size745.5 KiB
2022-11-23T02:49:54.218292image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q32
95-th percentile9
Maximum99
Range99
Interquartile range (IQR)2

Descriptive statistics

Standard deviation4.640739741
Coefficient of variation (CV)2.457253073
Kurtosis44.8249838
Mean1.888588438
Median Absolute Deviation (MAD)0
Skewness5.612900495
Sum180194
Variance21.53646535
MonotonicityNot monotonic
2022-11-23T02:49:54.290791image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
052170
54.7%
116353
 
17.1%
28886
 
9.3%
34713
 
4.9%
42986
 
3.1%
52123
 
2.2%
61470
 
1.5%
7989
 
1.0%
8779
 
0.8%
9675
 
0.7%
Other values (61)4268
 
4.5%
ValueCountFrequency (%)
052170
54.7%
116353
 
17.1%
28886
 
9.3%
34713
 
4.9%
42986
 
3.1%
ValueCountFrequency (%)
992
< 0.1%
821
< 0.1%
701
< 0.1%
682
< 0.1%
671
< 0.1%

IC15
Real number (ℝ≥0)

ZEROS

Distinct96
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean14.79556031
Minimum0
Maximum99
Zeros5579
Zeros (%)5.8%
Negative0
Negative (%)0.0%
Memory size745.5 KiB
2022-11-23T02:49:54.365312image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q15
median12
Q321
95-th percentile38
Maximum99
Range99
Interquartile range (IQR)16

Descriptive statistics

Standard deviation12.34113507
Coefficient of variation (CV)0.8341106938
Kurtosis2.93315794
Mean14.79556031
Median Absolute Deviation (MAD)8
Skewness1.391452645
Sum1411674
Variance152.3036149
MonotonicityNot monotonic
2022-11-23T02:49:54.440016image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
05579
 
5.8%
44471
 
4.7%
34345
 
4.6%
54324
 
4.5%
64195
 
4.4%
74002
 
4.2%
23869
 
4.1%
83782
 
4.0%
93643
 
3.8%
103368
 
3.5%
Other values (86)53834
56.4%
ValueCountFrequency (%)
05579
5.8%
11728
 
1.8%
23869
4.1%
34345
4.6%
44471
4.7%
ValueCountFrequency (%)
9935
< 0.1%
961
 
< 0.1%
951
 
< 0.1%
942
 
< 0.1%
911
 
< 0.1%

IC16
Real number (ℝ≥0)

ZEROS

Distinct78
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean15.92549155
Minimum0
Maximum99
Zeros3304
Zeros (%)3.5%
Negative0
Negative (%)0.0%
Memory size745.5 KiB
2022-11-23T02:49:54.516007image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile2
Q19
median16
Q322
95-th percentile31
Maximum99
Range99
Interquartile range (IQR)13

Descriptive statistics

Standard deviation9.170849915
Coefficient of variation (CV)0.5758597708
Kurtosis1.160843705
Mean15.92549155
Median Absolute Deviation (MAD)7
Skewness0.5137164435
Sum1519483
Variance84.10448816
MonotonicityNot monotonic
2022-11-23T02:49:54.592636image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
203840
 
4.0%
193839
 
4.0%
213838
 
4.0%
163790
 
4.0%
183761
 
3.9%
173734
 
3.9%
223581
 
3.8%
153537
 
3.7%
133520
 
3.7%
143458
 
3.6%
Other values (68)58514
61.3%
ValueCountFrequency (%)
03304
3.5%
1739
 
0.8%
21653
1.7%
32314
2.4%
42601
2.7%
ValueCountFrequency (%)
9913
< 0.1%
821
 
< 0.1%
811
 
< 0.1%
771
 
< 0.1%
762
 
< 0.1%

IC17
Real number (ℝ≥0)

ZEROS

Distinct72
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean16.43386576
Minimum0
Maximum99
Zeros2444
Zeros (%)2.6%
Negative0
Negative (%)0.0%
Memory size745.5 KiB
2022-11-23T02:49:54.671366image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile4
Q111
median17
Q321
95-th percentile29
Maximum99
Range99
Interquartile range (IQR)10

Descriptive statistics

Standard deviation7.640647342
Coefficient of variation (CV)0.4649330506
Kurtosis2.465701238
Mean16.43386576
Median Absolute Deviation (MAD)5
Skewness0.4017554972
Sum1567988
Variance58.37949181
MonotonicityNot monotonic
2022-11-23T02:49:54.747115image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
185731
 
6.0%
175599
 
5.9%
195510
 
5.8%
165236
 
5.5%
205157
 
5.4%
154770
 
5.0%
214750
 
5.0%
144625
 
4.8%
134340
 
4.5%
224016
 
4.2%
Other values (62)45678
47.9%
ValueCountFrequency (%)
02444
2.6%
1213
 
0.2%
2755
 
0.8%
31109
1.2%
41439
1.5%
ValueCountFrequency (%)
9911
< 0.1%
821
 
< 0.1%
772
 
< 0.1%
751
 
< 0.1%
732
 
< 0.1%

IC18
Real number (ℝ≥0)

ZEROS

Distinct71
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean20.61324571
Minimum0
Maximum99
Zeros1912
Zeros (%)2.0%
Negative0
Negative (%)0.0%
Memory size745.5 KiB
2022-11-23T02:49:54.823975image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile7
Q115
median21
Q326
95-th percentile34
Maximum99
Range99
Interquartile range (IQR)11

Descriptive statistics

Standard deviation8.472724596
Coefficient of variation (CV)0.411033018
Kurtosis2.044607594
Mean20.61324571
Median Absolute Deviation (MAD)5
Skewness0.2929448198
Sum1966751
Variance71.78706208
MonotonicityNot monotonic
2022-11-23T02:49:54.900882image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
204906
 
5.1%
214894
 
5.1%
224862
 
5.1%
194755
 
5.0%
234686
 
4.9%
184486
 
4.7%
244368
 
4.6%
174353
 
4.6%
164156
 
4.4%
254136
 
4.3%
Other values (61)49810
52.2%
ValueCountFrequency (%)
01912
2.0%
146
 
< 0.1%
2161
 
0.2%
3364
 
0.4%
4538
 
0.6%
ValueCountFrequency (%)
9920
< 0.1%
822
 
< 0.1%
762
 
< 0.1%
691
 
< 0.1%
681
 
< 0.1%

IC19
Real number (ℝ≥0)

ZEROS

Distinct73
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean18.66591204
Minimum0
Maximum99
Zeros3175
Zeros (%)3.3%
Negative0
Negative (%)0.0%
Memory size745.5 KiB
2022-11-23T02:49:54.973641image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile3
Q110
median18
Q326
95-th percentile37
Maximum99
Range99
Interquartile range (IQR)16

Descriptive statistics

Standard deviation10.64421296
Coefficient of variation (CV)0.5702487474
Kurtosis0.1412507729
Mean18.66591204
Median Absolute Deviation (MAD)8
Skewness0.4909807339
Sum1780952
Variance113.2992696
MonotonicityNot monotonic
2022-11-23T02:49:55.046643image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
123567
 
3.7%
133519
 
3.7%
113493
 
3.7%
103407
 
3.6%
93344
 
3.5%
163276
 
3.4%
143266
 
3.4%
153252
 
3.4%
83187
 
3.3%
03175
 
3.3%
Other values (63)61926
64.9%
ValueCountFrequency (%)
03175
3.3%
1178
 
0.2%
2689
 
0.7%
31210
 
1.3%
41512
1.6%
ValueCountFrequency (%)
9911
< 0.1%
841
 
< 0.1%
811
 
< 0.1%
703
 
< 0.1%
681
 
< 0.1%

IC20
Real number (ℝ≥0)

ZEROS

Distinct54
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean6.584412862
Minimum0
Maximum99
Zeros16124
Zeros (%)16.9%
Negative0
Negative (%)0.0%
Memory size745.5 KiB
2022-11-23T02:49:55.194475image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q12
median4
Q310
95-th percentile20
Maximum99
Range99
Interquartile range (IQR)8

Descriptive statistics

Standard deviation6.666176336
Coefficient of variation (CV)1.012417732
Kurtosis2.900646635
Mean6.584412862
Median Absolute Deviation (MAD)4
Skewness1.468693535
Sum628232
Variance44.43790694
MonotonicityNot monotonic
2022-11-23T02:49:55.264910image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
016124
16.9%
29835
 
10.3%
38843
 
9.3%
47261
 
7.6%
56047
 
6.3%
15989
 
6.3%
65150
 
5.4%
74283
 
4.5%
83609
 
3.8%
93409
 
3.6%
Other values (44)24862
26.1%
ValueCountFrequency (%)
016124
16.9%
15989
 
6.3%
29835
10.3%
38843
9.3%
47261
7.6%
ValueCountFrequency (%)
992
 
< 0.1%
621
 
< 0.1%
555
< 0.1%
542
 
< 0.1%
521
 
< 0.1%

IC21
Real number (ℝ≥0)

ZEROS

Distinct43
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2.602618119
Minimum0
Maximum50
Zeros39568
Zeros (%)41.5%
Negative0
Negative (%)0.0%
Memory size745.5 KiB
2022-11-23T02:49:55.332631image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median1
Q33
95-th percentile11
Maximum50
Range50
Interquartile range (IQR)3

Descriptive statistics

Standard deviation3.90719427
Coefficient of variation (CV)1.50125531
Kurtosis7.830040005
Mean2.602618119
Median Absolute Deviation (MAD)1
Skewness2.411585969
Sum248321
Variance15.26616707
MonotonicityNot monotonic
2022-11-23T02:49:55.400940image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram with fixed size bins (bins=43)
ValueCountFrequency (%)
039568
41.5%
113934
 
14.6%
210754
 
11.3%
37371
 
7.7%
45145
 
5.4%
53536
 
3.7%
62704
 
2.8%
72399
 
2.5%
81837
 
1.9%
91523
 
1.6%
Other values (33)6641
 
7.0%
ValueCountFrequency (%)
039568
41.5%
113934
 
14.6%
210754
 
11.3%
37371
 
7.7%
45145
 
5.4%
ValueCountFrequency (%)
502
< 0.1%
462
< 0.1%
421
 
< 0.1%
402
< 0.1%
383
< 0.1%

IC22
Real number (ℝ≥0)

ZEROS

Distinct36
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1.122699451
Minimum0
Maximum99
Zeros61356
Zeros (%)64.3%
Negative0
Negative (%)0.0%
Memory size745.5 KiB
2022-11-23T02:49:55.467615image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q31
95-th percentile6
Maximum99
Range99
Interquartile range (IQR)1

Descriptive statistics

Standard deviation2.321725988
Coefficient of variation (CV)2.067985324
Kurtosis85.74050977
Mean1.122699451
Median Absolute Deviation (MAD)0
Skewness4.905121126
Sum107119
Variance5.390411562
MonotonicityNot monotonic
2022-11-23T02:49:55.533238image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram with fixed size bins (bins=36)
ValueCountFrequency (%)
061356
64.3%
111861
 
12.4%
27513
 
7.9%
34479
 
4.7%
42922
 
3.1%
52067
 
2.2%
61501
 
1.6%
71051
 
1.1%
8711
 
0.7%
9580
 
0.6%
Other values (26)1371
 
1.4%
ValueCountFrequency (%)
061356
64.3%
111861
 
12.4%
27513
 
7.9%
34479
 
4.7%
42922
 
3.1%
ValueCountFrequency (%)
992
< 0.1%
521
 
< 0.1%
461
 
< 0.1%
384
< 0.1%
332
< 0.1%

IC23
Real number (ℝ≥0)

ZEROS

Distinct75
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2.28186182
Minimum0
Maximum99
Zeros52706
Zeros (%)55.2%
Negative0
Negative (%)0.0%
Memory size745.5 KiB
2022-11-23T02:49:55.604954image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q32
95-th percentile11
Maximum99
Range99
Interquartile range (IQR)2

Descriptive statistics

Standard deviation5.531296835
Coefficient of variation (CV)2.424027952
Kurtosis36.30288556
Mean2.28186182
Median Absolute Deviation (MAD)0
Skewness5.140495678
Sum217717
Variance30.59524468
MonotonicityNot monotonic
2022-11-23T02:49:55.677089image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
052706
55.2%
113034
 
13.7%
28393
 
8.8%
35078
 
5.3%
43423
 
3.6%
52264
 
2.4%
61789
 
1.9%
71293
 
1.4%
8936
 
1.0%
9854
 
0.9%
Other values (65)5642
 
5.9%
ValueCountFrequency (%)
052706
55.2%
113034
 
13.7%
28393
 
8.8%
35078
 
5.3%
43423
 
3.6%
ValueCountFrequency (%)
993
< 0.1%
871
 
< 0.1%
731
 
< 0.1%
721
 
< 0.1%
704
< 0.1%

HHAS1
Real number (ℝ≥0)

ZEROS

Distinct100
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean26.76335262
Minimum0
Maximum99
Zeros1179
Zeros (%)1.2%
Negative0
Negative (%)0.0%
Memory size745.5 KiB
2022-11-23T02:49:55.750838image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile7
Q117
median26
Q334
95-th percentile50
Maximum99
Range99
Interquartile range (IQR)17

Descriptive statistics

Standard deviation13.86488376
Coefficient of variation (CV)0.5180548175
Kurtosis2.181554344
Mean26.76335262
Median Absolute Deviation (MAD)9
Skewness0.9474102143
Sum2553545
Variance192.2350016
MonotonicityNot monotonic
2022-11-23T02:49:55.822990image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
292979
 
3.1%
242959
 
3.1%
262940
 
3.1%
282913
 
3.1%
232861
 
3.0%
212855
 
3.0%
222846
 
3.0%
272840
 
3.0%
252833
 
3.0%
312791
 
2.9%
Other values (90)66595
69.8%
ValueCountFrequency (%)
01179
1.2%
1149
 
0.2%
2257
 
0.3%
3418
 
0.4%
4611
0.6%
ValueCountFrequency (%)
9918
< 0.1%
982
 
< 0.1%
973
 
< 0.1%
969
< 0.1%
955
 
< 0.1%

HHAS2
Real number (ℝ≥0)

ZEROS

Distinct72
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean6.10250283
Minimum0
Maximum99
Zeros10154
Zeros (%)10.6%
Negative0
Negative (%)0.0%
Memory size745.5 KiB
2022-11-23T02:49:55.896749image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q12
median4
Q38
95-th percentile18
Maximum99
Range99
Interquartile range (IQR)6

Descriptive statistics

Standard deviation6.215594232
Coefficient of variation (CV)1.018531971
Kurtosis12.74717959
Mean6.10250283
Median Absolute Deviation (MAD)3
Skewness2.607247587
Sum582252
Variance38.63361166
MonotonicityNot monotonic
2022-11-23T02:49:55.967561image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
211011
11.5%
310468
11.0%
010154
10.6%
49339
9.8%
57963
8.3%
17262
 
7.6%
66677
 
7.0%
75613
 
5.9%
84704
 
4.9%
93603
 
3.8%
Other values (62)18618
19.5%
ValueCountFrequency (%)
010154
10.6%
17262
7.6%
211011
11.5%
310468
11.0%
49339
9.8%
ValueCountFrequency (%)
995
< 0.1%
861
 
< 0.1%
802
 
< 0.1%
771
 
< 0.1%
762
 
< 0.1%

HHAS3
Real number (ℝ≥0)

ZEROS

Distinct99
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean42.96297111
Minimum0
Maximum99
Zeros1041
Zeros (%)1.1%
Negative0
Negative (%)0.0%
Memory size745.5 KiB
2022-11-23T02:49:56.039444image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile15
Q131
median43
Q355
95-th percentile71
Maximum99
Range99
Interquartile range (IQR)24

Descriptive statistics

Standard deviation17.05434734
Coefficient of variation (CV)0.3969545611
Kurtosis-0.2398378802
Mean42.96297111
Median Absolute Deviation (MAD)12
Skewness0.02128315528
Sum4099183
Variance290.8507633
MonotonicityNot monotonic
2022-11-23T02:49:56.110442image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
442243
 
2.4%
432195
 
2.3%
422189
 
2.3%
492128
 
2.2%
462127
 
2.2%
412120
 
2.2%
472112
 
2.2%
402101
 
2.2%
482077
 
2.2%
392075
 
2.2%
Other values (89)74045
77.6%
ValueCountFrequency (%)
01041
1.1%
120
 
< 0.1%
261
 
0.1%
375
 
0.1%
4110
 
0.1%
ValueCountFrequency (%)
9930
< 0.1%
976
 
< 0.1%
961
 
< 0.1%
959
 
< 0.1%
9427
< 0.1%

HHAS4
Real number (ℝ≥0)

ZEROS

Distinct93
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean10.74090261
Minimum0
Maximum99
Zeros4357
Zeros (%)4.6%
Negative0
Negative (%)0.0%
Memory size745.5 KiB
2022-11-23T02:49:56.182755image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile1
Q14
median8
Q315
95-th percentile30
Maximum99
Range99
Interquartile range (IQR)11

Descriptive statistics

Standard deviation9.967408636
Coefficient of variation (CV)0.927986129
Kurtosis5.578383254
Mean10.74090261
Median Absolute Deviation (MAD)5
Skewness1.920399315
Sum1024811
Variance99.34923493
MonotonicityNot monotonic
2022-11-23T02:49:56.327609image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
36631
 
6.9%
46537
 
6.9%
56276
 
6.6%
26222
 
6.5%
65281
 
5.5%
15195
 
5.4%
75087
 
5.3%
84548
 
4.8%
94361
 
4.6%
04357
 
4.6%
Other values (83)40917
42.9%
ValueCountFrequency (%)
04357
4.6%
15195
5.4%
26222
6.5%
36631
6.9%
46537
6.9%
ValueCountFrequency (%)
997
< 0.1%
931
 
< 0.1%
922
 
< 0.1%
912
 
< 0.1%
891
 
< 0.1%

MC1
Real number (ℝ≥0)

Distinct99
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean48.36197753
Minimum0
Maximum99
Zeros883
Zeros (%)0.9%
Negative0
Negative (%)0.0%
Memory size745.5 KiB
2022-11-23T02:49:56.400852image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile26
Q138
median47
Q358
95-th percentile77
Maximum99
Range99
Interquartile range (IQR)20

Descriptive statistics

Standard deviation15.97653535
Coefficient of variation (CV)0.3303532271
Kurtosis0.5006098382
Mean48.36197753
Median Absolute Deviation (MAD)10
Skewness0.3008891376
Sum4614313
Variance255.2496817
MonotonicityNot monotonic
2022-11-23T02:49:56.472303image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
412654
 
2.8%
442637
 
2.8%
432633
 
2.8%
462628
 
2.8%
402578
 
2.7%
482574
 
2.7%
392569
 
2.7%
422554
 
2.7%
472548
 
2.7%
452508
 
2.6%
Other values (89)69529
72.9%
ValueCountFrequency (%)
0883
0.9%
11
 
< 0.1%
32
 
< 0.1%
41
 
< 0.1%
54
 
< 0.1%
ValueCountFrequency (%)
9999
0.1%
9895
0.1%
9780
0.1%
96125
0.1%
9598
0.1%

MC2
Real number (ℝ≥0)

Distinct99
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean50.74688718
Minimum0
Maximum99
Zeros923
Zeros (%)1.0%
Negative0
Negative (%)0.0%
Memory size745.5 KiB
2022-11-23T02:49:56.545638image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile21
Q141
median53
Q362
95-th percentile73
Maximum99
Range99
Interquartile range (IQR)21

Descriptive statistics

Standard deviation16.04460685
Coefficient of variation (CV)0.3161692812
Kurtosis0.4976848871
Mean50.74688718
Median Absolute Deviation (MAD)10
Skewness-0.6734334372
Sum4841862
Variance257.4294088
MonotonicityNot monotonic
2022-11-23T02:49:56.617183image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
592662
 
2.8%
562637
 
2.8%
572623
 
2.7%
542619
 
2.7%
522577
 
2.7%
612571
 
2.7%
602563
 
2.7%
582558
 
2.7%
532551
 
2.7%
552512
 
2.6%
Other values (89)69539
72.9%
ValueCountFrequency (%)
0923
1.0%
127
 
< 0.1%
295
 
0.1%
380
 
0.1%
4125
 
0.1%
ValueCountFrequency (%)
9933
< 0.1%
972
 
< 0.1%
961
 
< 0.1%
954
 
< 0.1%
9410
 
< 0.1%

MC3
Real number (ℝ≥0)

ZEROS

Distinct98
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean12.27618119
Minimum0
Maximum99
Zeros2815
Zeros (%)3.0%
Negative0
Negative (%)0.0%
Memory size745.5 KiB
2022-11-23T02:49:56.690208image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile1
Q15
median10
Q317
95-th percentile32
Maximum99
Range99
Interquartile range (IQR)12

Descriptive statistics

Standard deviation10.25513958
Coefficient of variation (CV)0.8353688677
Kurtosis6.206683228
Mean12.27618119
Median Absolute Deviation (MAD)5
Skewness1.918636418
Sum1171295
Variance105.1678879
MonotonicityNot monotonic
2022-11-23T02:49:56.762269image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
56293
 
6.6%
65913
 
6.2%
45708
 
6.0%
75661
 
5.9%
85428
 
5.7%
34858
 
5.1%
94742
 
5.0%
104460
 
4.7%
114133
 
4.3%
23692
 
3.9%
Other values (88)44524
46.7%
ValueCountFrequency (%)
02815
3.0%
12500
2.6%
23692
3.9%
34858
5.1%
45708
6.0%
ValueCountFrequency (%)
996
< 0.1%
963
< 0.1%
954
< 0.1%
943
< 0.1%
931
 
< 0.1%

TPE1
Real number (ℝ≥0)

Distinct99
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean76.09559594
Minimum0
Maximum99
Zeros926
Zeros (%)1.0%
Negative0
Negative (%)0.0%
Memory size745.5 KiB
2022-11-23T02:49:56.835715image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile54
Q172
median79
Q384
95-th percentile90
Maximum99
Range99
Interquartile range (IQR)12

Descriptive statistics

Standard deviation13.28965894
Coefficient of variation (CV)0.1746442586
Kurtosis10.60979648
Mean76.09559594
Median Absolute Deviation (MAD)6
Skewness-2.561128064
Sum7260433
Variance176.6150346
MonotonicityNot monotonic
2022-11-23T02:49:56.906516image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
814580
 
4.8%
824418
 
4.6%
804392
 
4.6%
834280
 
4.5%
794248
 
4.5%
784133
 
4.3%
844102
 
4.3%
854038
 
4.2%
763845
 
4.0%
773775
 
4.0%
Other values (89)53601
56.2%
ValueCountFrequency (%)
0926
1.0%
22
 
< 0.1%
33
 
< 0.1%
42
 
< 0.1%
512
 
< 0.1%
ValueCountFrequency (%)
99274
0.3%
9868
 
0.1%
97110
 
0.1%
96200
0.2%
95334
0.4%

TPE2
Real number (ℝ≥0)

ZEROS

Distinct70
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean12.99749507
Minimum0
Maximum99
Zeros2320
Zeros (%)2.4%
Negative0
Negative (%)0.0%
Memory size745.5 KiB
2022-11-23T02:49:56.978627image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile3
Q19
median12
Q317
95-th percentile25
Maximum99
Range99
Interquartile range (IQR)8

Descriptive statistics

Standard deviation6.697763121
Coefficient of variation (CV)0.5153118415
Kurtosis3.83319606
Mean12.99749507
Median Absolute Deviation (MAD)4
Skewness1.003132118
Sum1240117
Variance44.86003083
MonotonicityNot monotonic
2022-11-23T02:49:57.050528image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
116784
 
7.1%
126555
 
6.9%
136420
 
6.7%
106389
 
6.7%
95814
 
6.1%
145698
 
6.0%
85307
 
5.6%
155242
 
5.5%
164592
 
4.8%
74583
 
4.8%
Other values (60)38028
39.9%
ValueCountFrequency (%)
02320
2.4%
1253
 
0.3%
2862
 
0.9%
31387
1.5%
42018
2.1%
ValueCountFrequency (%)
995
< 0.1%
841
 
< 0.1%
811
 
< 0.1%
771
 
< 0.1%
761
 
< 0.1%

TPE3
Real number (ℝ≥0)

ZEROS

Distinct72
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2.398922567
Minimum0
Maximum99
Zeros50524
Zeros (%)53.0%
Negative0
Negative (%)0.0%
Memory size745.5 KiB
2022-11-23T02:49:57.123817image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q32
95-th percentile12
Maximum99
Range99
Interquartile range (IQR)2

Descriptive statistics

Standard deviation5.590967147
Coefficient of variation (CV)2.330615929
Kurtosis29.57066715
Mean2.398922567
Median Absolute Deviation (MAD)0
Skewness4.69526502
Sum228886
Variance31.25891364
MonotonicityNot monotonic
2022-11-23T02:49:57.195732image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
050524
53.0%
114924
 
15.6%
28125
 
8.5%
34950
 
5.2%
43237
 
3.4%
52490
 
2.6%
61672
 
1.8%
71300
 
1.4%
81105
 
1.2%
9883
 
0.9%
Other values (62)6202
 
6.5%
ValueCountFrequency (%)
050524
53.0%
114924
 
15.6%
28125
 
8.5%
34950
 
5.2%
43237
 
3.4%
ValueCountFrequency (%)
992
< 0.1%
821
< 0.1%
792
< 0.1%
751
< 0.1%
731
< 0.1%

TPE4
Real number (ℝ≥0)

ZEROS

Distinct67
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1.832421498
Minimum0
Maximum99
Zeros56252
Zeros (%)59.0%
Negative0
Negative (%)0.0%
Memory size745.5 KiB
2022-11-23T02:49:57.269102image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q32
95-th percentile9
Maximum99
Range99
Interquartile range (IQR)2

Descriptive statistics

Standard deviation4.577516717
Coefficient of variation (CV)2.498069752
Kurtosis38.75546645
Mean1.832421498
Median Absolute Deviation (MAD)0
Skewness5.192693389
Sum174835
Variance20.9536593
MonotonicityNot monotonic
2022-11-23T02:49:57.414012image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
056252
59.0%
114269
 
15.0%
27424
 
7.8%
34253
 
4.5%
42813
 
2.9%
52053
 
2.2%
61343
 
1.4%
71001
 
1.0%
8851
 
0.9%
9631
 
0.7%
Other values (57)4522
 
4.7%
ValueCountFrequency (%)
056252
59.0%
114269
 
15.0%
27424
 
7.8%
34253
 
4.5%
42813
 
2.9%
ValueCountFrequency (%)
992
< 0.1%
821
< 0.1%
792
< 0.1%
751
< 0.1%
631
< 0.1%

TPE5
Real number (ℝ≥0)

ZEROS

Distinct50
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.4548065233
Minimum0
Maximum71
Zeros87266
Zeros (%)91.5%
Negative0
Negative (%)0.0%
Memory size745.5 KiB
2022-11-23T02:49:57.486798image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile3
Maximum71
Range71
Interquartile range (IQR)0

Descriptive statistics

Standard deviation2.197904918
Coefficient of variation (CV)4.832615201
Kurtosis91.7624361
Mean0.4548065233
Median Absolute Deviation (MAD)0
Skewness7.929284415
Sum43394
Variance4.830786028
MonotonicityNot monotonic
2022-11-23T02:49:57.555613image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
087266
91.5%
12139
 
2.2%
21151
 
1.2%
3873
 
0.9%
4628
 
0.7%
5588
 
0.6%
6447
 
0.5%
7375
 
0.4%
8296
 
0.3%
9292
 
0.3%
Other values (40)1357
 
1.4%
ValueCountFrequency (%)
087266
91.5%
12139
 
2.2%
21151
 
1.2%
3873
 
0.9%
4628
 
0.7%
ValueCountFrequency (%)
711
< 0.1%
551
< 0.1%
501
< 0.1%
462
< 0.1%
451
< 0.1%

TPE6
Real number (ℝ≥0)

SKEWED
ZEROS

Distinct27
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.1018949398
Minimum0
Maximum47
Zeros90483
Zeros (%)94.8%
Negative0
Negative (%)0.0%
Memory size745.5 KiB
2022-11-23T02:49:57.620882image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile1
Maximum47
Range47
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.7347573284
Coefficient of variation (CV)7.21093049
Kurtosis888.3383623
Mean0.1018949398
Median Absolute Deviation (MAD)0
Skewness23.02196117
Sum9722
Variance0.5398683317
MonotonicityNot monotonic
2022-11-23T02:49:57.676563image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram with fixed size bins (bins=27)
ValueCountFrequency (%)
090483
94.8%
13077
 
3.2%
2991
 
1.0%
3374
 
0.4%
4171
 
0.2%
585
 
0.1%
659
 
0.1%
852
 
0.1%
734
 
< 0.1%
1117
 
< 0.1%
Other values (17)69
 
0.1%
ValueCountFrequency (%)
090483
94.8%
13077
 
3.2%
2991
 
1.0%
3374
 
0.4%
4171
 
0.2%
ValueCountFrequency (%)
472
 
< 0.1%
309
< 0.1%
291
 
< 0.1%
281
 
< 0.1%
275
< 0.1%

TPE7
Real number (ℝ≥0)

ZEROS

Distinct18
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.2390474993
Minimum0
Maximum25
Zeros80140
Zeros (%)84.0%
Negative0
Negative (%)0.0%
Memory size745.5 KiB
2022-11-23T02:49:57.729434image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile1
Maximum25
Range25
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.6955118437
Coefficient of variation (CV)2.909513154
Kurtosis104.7621128
Mean0.2390474993
Median Absolute Deviation (MAD)0
Skewness6.477159389
Sum22808
Variance0.4837367247
MonotonicityNot monotonic
2022-11-23T02:49:57.782564image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram with fixed size bins (bins=18)
ValueCountFrequency (%)
080140
84.0%
110677
 
11.2%
22989
 
3.1%
3988
 
1.0%
4340
 
0.4%
5142
 
0.1%
652
 
0.1%
736
 
< 0.1%
815
 
< 0.1%
98
 
< 0.1%
Other values (8)25
 
< 0.1%
ValueCountFrequency (%)
080140
84.0%
110677
 
11.2%
22989
 
3.1%
3988
 
1.0%
4340
 
0.4%
ValueCountFrequency (%)
252
< 0.1%
222
< 0.1%
202
< 0.1%
163
< 0.1%
131
 
< 0.1%

TPE8
Real number (ℝ≥0)

ZEROS

Distinct83
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean4.071332746
Minimum0
Maximum99
Zeros15711
Zeros (%)16.5%
Negative0
Negative (%)0.0%
Memory size745.5 KiB
2022-11-23T02:49:57.846960image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q11
median3
Q35
95-th percentile13
Maximum99
Range99
Interquartile range (IQR)4

Descriptive statistics

Standard deviation5.492787945
Coefficient of variation (CV)1.349137564
Kurtosis40.01622735
Mean4.071332746
Median Absolute Deviation (MAD)2
Skewness4.804961636
Sum388454
Variance30.17071941
MonotonicityNot monotonic
2022-11-23T02:49:57.918866image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
215779
16.5%
015711
16.5%
114068
14.7%
312590
13.2%
49551
10.0%
56411
6.7%
64749
 
5.0%
73548
 
3.7%
82611
 
2.7%
92004
 
2.1%
Other values (73)8390
8.8%
ValueCountFrequency (%)
015711
16.5%
114068
14.7%
215779
16.5%
312590
13.2%
49551
10.0%
ValueCountFrequency (%)
997
< 0.1%
961
 
< 0.1%
912
 
< 0.1%
902
 
< 0.1%
851
 
< 0.1%

TPE9
Real number (ℝ≥0)

ZEROS

Distinct56
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3.253961766
Minimum0
Maximum99
Zeros16912
Zeros (%)17.7%
Negative0
Negative (%)0.0%
Memory size745.5 KiB
2022-11-23T02:49:57.992295image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q11
median2
Q34
95-th percentile9
Maximum99
Range99
Interquartile range (IQR)3

Descriptive statistics

Standard deviation3.687820131
Coefficient of variation (CV)1.133332349
Kurtosis61.51942627
Mean3.253961766
Median Absolute Deviation (MAD)2
Skewness4.649519831
Sum310467
Variance13.60001732
MonotonicityNot monotonic
2022-11-23T02:49:58.064713image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
217849
18.7%
016912
17.7%
314520
15.2%
114101
14.8%
49957
10.4%
56580
 
6.9%
64430
 
4.6%
72952
 
3.1%
82090
 
2.2%
91381
 
1.4%
Other values (46)4640
 
4.9%
ValueCountFrequency (%)
016912
17.7%
114101
14.8%
217849
18.7%
314520
15.2%
49957
10.4%
ValueCountFrequency (%)
999
< 0.1%
591
 
< 0.1%
583
 
< 0.1%
561
 
< 0.1%
552
 
< 0.1%

PEC1
Real number (ℝ≥0)

ZEROS

Distinct82
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2.267586886
Minimum0
Maximum99
Zeros44833
Zeros (%)47.0%
Negative0
Negative (%)0.0%
Memory size745.5 KiB
2022-11-23T02:49:58.138525image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median1
Q32
95-th percentile9
Maximum99
Range99
Interquartile range (IQR)2

Descriptive statistics

Standard deviation6.235675004
Coefficient of variation (CV)2.749916681
Kurtosis43.06078328
Mean2.267586886
Median Absolute Deviation (MAD)1
Skewness5.914516104
Sum216355
Variance38.88364276
MonotonicityNot monotonic
2022-11-23T02:49:58.211188image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
044833
47.0%
122045
23.1%
211287
 
11.8%
35340
 
5.6%
42803
 
2.9%
51601
 
1.7%
61045
 
1.1%
7741
 
0.8%
8578
 
0.6%
9416
 
0.4%
Other values (72)4723
 
5.0%
ValueCountFrequency (%)
044833
47.0%
122045
23.1%
211287
 
11.8%
35340
 
5.6%
42803
 
2.9%
ValueCountFrequency (%)
991
 
< 0.1%
831
 
< 0.1%
813
< 0.1%
802
< 0.1%
792
< 0.1%

PEC2
Real number (ℝ≥0)

ZEROS

Distinct99
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean18.29984698
Minimum0
Maximum99
Zeros7250
Zeros (%)7.6%
Negative0
Negative (%)0.0%
Memory size745.5 KiB
2022-11-23T02:49:58.285497image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q14
median11
Q327
95-th percentile60
Maximum99
Range99
Interquartile range (IQR)23

Descriptive statistics

Standard deviation19.05758007
Coefficient of variation (CV)1.041406526
Kurtosis1.245659897
Mean18.29984698
Median Absolute Deviation (MAD)9
Skewness1.369431241
Sum1746025
Variance363.1913582
MonotonicityNot monotonic
2022-11-23T02:49:58.356853image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
07250
 
7.6%
35090
 
5.3%
25073
 
5.3%
44487
 
4.7%
54274
 
4.5%
13870
 
4.1%
63843
 
4.0%
73540
 
3.7%
83362
 
3.5%
92983
 
3.1%
Other values (89)51640
54.1%
ValueCountFrequency (%)
07250
7.6%
13870
4.1%
25073
5.3%
35090
5.3%
44487
4.7%
ValueCountFrequency (%)
9910
< 0.1%
972
 
< 0.1%
967
< 0.1%
957
< 0.1%
949
< 0.1%

TPE10
Real number (ℝ≥0)

Distinct67
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean19.48037983
Minimum0
Maximum90
Zeros794
Zeros (%)0.8%
Negative0
Negative (%)0.0%
Memory size745.5 KiB
2022-11-23T02:49:58.502179image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile10
Q115
median19
Q323
95-th percentile31
Maximum90
Range90
Interquartile range (IQR)8

Descriptive statistics

Standard deviation6.772796502
Coefficient of variation (CV)0.3476727129
Kurtosis14.21508801
Mean19.48037983
Median Absolute Deviation (MAD)4
Skewness1.604908454
Sum1858662
Variance45.87077246
MonotonicityNot monotonic
2022-11-23T02:49:58.571593image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
187101
 
7.4%
196979
 
7.3%
216611
 
6.9%
206571
 
6.9%
176481
 
6.8%
226206
 
6.5%
235542
 
5.8%
165269
 
5.5%
144586
 
4.8%
244585
 
4.8%
Other values (57)35481
37.2%
ValueCountFrequency (%)
0794
0.8%
14
 
< 0.1%
23
 
< 0.1%
318
 
< 0.1%
441
 
< 0.1%
ValueCountFrequency (%)
90111
0.1%
751
 
< 0.1%
731
 
< 0.1%
653
 
< 0.1%
641
 
< 0.1%

TPE11
Real number (ℝ≥0)

Distinct62
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean23.72367207
Minimum0
Maximum76
Zeros893
Zeros (%)0.9%
Negative0
Negative (%)0.0%
Memory size745.5 KiB
2022-11-23T02:49:58.643281image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile14
Q119
median23
Q328
95-th percentile35
Maximum76
Range76
Interquartile range (IQR)9

Descriptive statistics

Standard deviation6.630089972
Coefficient of variation (CV)0.2794714895
Kurtosis1.558397514
Mean23.72367207
Median Absolute Deviation (MAD)4
Skewness0.1193464581
Sum2263523
Variance43.95809303
MonotonicityNot monotonic
2022-11-23T02:49:58.713376image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
236366
 
6.7%
226339
 
6.6%
216140
 
6.4%
246130
 
6.4%
205790
 
6.1%
255724
 
6.0%
265339
 
5.6%
195122
 
5.4%
274757
 
5.0%
184499
 
4.7%
Other values (52)39206
41.1%
ValueCountFrequency (%)
0893
0.9%
34
 
< 0.1%
55
 
< 0.1%
63
 
< 0.1%
729
 
< 0.1%
ValueCountFrequency (%)
761
< 0.1%
751
< 0.1%
711
< 0.1%
641
< 0.1%
611
< 0.1%

TPE12
Real number (ℝ≥0)

ZEROS

Distinct59
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean5.306324152
Minimum0
Maximum99
Zeros11550
Zeros (%)12.1%
Negative0
Negative (%)0.0%
Memory size745.5 KiB
2022-11-23T02:49:58.789539image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q12
median4
Q37
95-th percentile16
Maximum99
Range99
Interquartile range (IQR)5

Descriptive statistics

Standard deviation5.343131746
Coefficient of variation (CV)1.006936552
Kurtosis10.1624143
Mean5.306324152
Median Absolute Deviation (MAD)2
Skewness2.39229147
Sum506287
Variance28.54905686
MonotonicityNot monotonic
2022-11-23T02:49:58.860931image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
212334
12.9%
312239
12.8%
011550
12.1%
410440
10.9%
58104
8.5%
17597
8.0%
66466
6.8%
74992
 
5.2%
83929
 
4.1%
93035
 
3.2%
Other values (49)14726
15.4%
ValueCountFrequency (%)
011550
12.1%
17597
8.0%
212334
12.9%
312239
12.8%
410440
10.9%
ValueCountFrequency (%)
991
 
< 0.1%
851
 
< 0.1%
671
 
< 0.1%
581
 
< 0.1%
573
< 0.1%

TPE13
Real number (ℝ≥0)

Distinct100
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean60.04200729
Minimum0
Maximum99
Zeros941
Zeros (%)1.0%
Negative0
Negative (%)0.0%
Memory size745.5 KiB
2022-11-23T02:49:58.933434image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile27
Q150
median64
Q373
95-th percentile82
Maximum99
Range99
Interquartile range (IQR)23

Descriptive statistics

Standard deviation17.40141225
Coefficient of variation (CV)0.2898206278
Kurtosis0.6974825508
Mean60.04200729
Median Absolute Deviation (MAD)11
Skewness-0.891027666
Sum5728728
Variance302.8091482
MonotonicityNot monotonic
2022-11-23T02:49:59.004766image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
722695
 
2.8%
712668
 
2.8%
702665
 
2.8%
742640
 
2.8%
692629
 
2.8%
682584
 
2.7%
732576
 
2.7%
672568
 
2.7%
662539
 
2.7%
652468
 
2.6%
Other values (90)69380
72.7%
ValueCountFrequency (%)
0941
1.0%
11
 
< 0.1%
25
 
< 0.1%
37
 
< 0.1%
47
 
< 0.1%
ValueCountFrequency (%)
99104
0.1%
986
 
< 0.1%
9712
 
< 0.1%
9621
 
< 0.1%
9527
 
< 0.1%

LFC1
Real number (ℝ≥0)

Distinct100
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean64.5315998
Minimum0
Maximum99
Zeros879
Zeros (%)0.9%
Negative0
Negative (%)0.0%
Memory size745.5 KiB
2022-11-23T02:49:59.077650image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile42
Q159
median66
Q373
95-th percentile82
Maximum99
Range99
Interquartile range (IQR)14

Descriptive statistics

Standard deviation13.60157867
Coefficient of variation (CV)0.2107739264
Kurtosis5.074255158
Mean64.5315998
Median Absolute Deviation (MAD)7
Skewness-1.636841589
Sum6157089
Variance185.0029423
MonotonicityNot monotonic
2022-11-23T02:49:59.150253image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
663615
 
3.8%
683607
 
3.8%
673601
 
3.8%
653569
 
3.7%
703448
 
3.6%
693425
 
3.6%
633401
 
3.6%
643396
 
3.6%
713360
 
3.5%
723359
 
3.5%
Other values (90)60631
63.5%
ValueCountFrequency (%)
0879
0.9%
11
 
< 0.1%
28
 
< 0.1%
35
 
< 0.1%
410
 
< 0.1%
ValueCountFrequency (%)
9935
< 0.1%
987
 
< 0.1%
977
 
< 0.1%
969
 
< 0.1%
959
 
< 0.1%

LFC2
Real number (ℝ≥0)

Distinct100
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean73.852681
Minimum0
Maximum99
Zeros907
Zeros (%)1.0%
Negative0
Negative (%)0.0%
Memory size745.5 KiB
2022-11-23T02:49:59.224918image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile48
Q169
median76
Q383
95-th percentile91
Maximum99
Range99
Interquartile range (IQR)14

Descriptive statistics

Standard deviation14.64340585
Coefficient of variation (CV)0.1982785954
Kurtosis6.917816397
Mean73.852681
Median Absolute Deviation (MAD)7
Skewness-2.067996003
Sum7046432
Variance214.429335
MonotonicityNot monotonic
2022-11-23T02:49:59.297424image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
783724
 
3.9%
763687
 
3.9%
803670
 
3.8%
793655
 
3.8%
773621
 
3.8%
813577
 
3.7%
753410
 
3.6%
823395
 
3.6%
743305
 
3.5%
833299
 
3.5%
Other values (90)60069
63.0%
ValueCountFrequency (%)
0907
1.0%
12
 
< 0.1%
25
 
< 0.1%
32
 
< 0.1%
45
 
< 0.1%
ValueCountFrequency (%)
99236
0.2%
98123
 
0.1%
97231
0.2%
96332
0.3%
95437
0.5%

LFC3
Real number (ℝ≥0)

Distinct99
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean56.02383348
Minimum0
Maximum99
Zeros917
Zeros (%)1.0%
Negative0
Negative (%)0.0%
Memory size745.5 KiB
2022-11-23T02:49:59.371586image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile33
Q149
median57
Q365
95-th percentile76
Maximum99
Range99
Interquartile range (IQR)16

Descriptive statistics

Standard deviation13.74190387
Coefficient of variation (CV)0.2452867471
Kurtosis2.482888214
Mean56.02383348
Median Absolute Deviation (MAD)8
Skewness-0.9630481004
Sum5345346
Variance188.839922
MonotonicityNot monotonic
2022-11-23T02:49:59.443989image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
583387
 
3.5%
573304
 
3.5%
593302
 
3.5%
563187
 
3.3%
553147
 
3.3%
623144
 
3.3%
613090
 
3.2%
543078
 
3.2%
602983
 
3.1%
532844
 
3.0%
Other values (89)63946
67.0%
ValueCountFrequency (%)
0917
1.0%
216
 
< 0.1%
311
 
< 0.1%
444
 
< 0.1%
561
 
0.1%
ValueCountFrequency (%)
9943
< 0.1%
981
 
< 0.1%
975
 
< 0.1%
965
 
< 0.1%
958
 
< 0.1%

LFC4
Real number (ℝ≥0)

Distinct100
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean69.80198508
Minimum0
Maximum99
Zeros917
Zeros (%)1.0%
Negative0
Negative (%)0.0%
Memory size745.5 KiB
2022-11-23T02:49:59.591742image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile43
Q163
median72
Q379
95-th percentile88
Maximum99
Range99
Interquartile range (IQR)16

Descriptive statistics

Standard deviation14.98311785
Coefficient of variation (CV)0.2146517442
Kurtosis4.824197105
Mean69.80198508
Median Absolute Deviation (MAD)8
Skewness-1.688684055
Sum6659947
Variance224.4938205
MonotonicityNot monotonic
2022-11-23T02:49:59.664139image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
753464
 
3.6%
763436
 
3.6%
743313
 
3.5%
773309
 
3.5%
733292
 
3.5%
723291
 
3.4%
783228
 
3.4%
793177
 
3.3%
703128
 
3.3%
713121
 
3.3%
Other values (90)62653
65.7%
ValueCountFrequency (%)
0917
1.0%
12
 
< 0.1%
22
 
< 0.1%
32
 
< 0.1%
45
 
< 0.1%
ValueCountFrequency (%)
99139
0.1%
9849
 
0.1%
97108
0.1%
96127
0.1%
95195
0.2%

LFC5
Real number (ℝ≥0)

Distinct98
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean52.95529912
Minimum0
Maximum99
Zeros927
Zeros (%)1.0%
Negative0
Negative (%)0.0%
Memory size745.5 KiB
2022-11-23T02:49:59.738366image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile30
Q145
median54
Q362
95-th percentile73
Maximum99
Range99
Interquartile range (IQR)17

Descriptive statistics

Standard deviation13.74230907
Coefficient of variation (CV)0.2595077225
Kurtosis1.824834973
Mean52.95529912
Median Absolute Deviation (MAD)8
Skewness-0.792761606
Sum5052571
Variance188.8510586
MonotonicityNot monotonic
2022-11-23T02:49:59.810430image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
553190
 
3.3%
533171
 
3.3%
543145
 
3.3%
563099
 
3.2%
573057
 
3.2%
592974
 
3.1%
502946
 
3.1%
522941
 
3.1%
582904
 
3.0%
602856
 
3.0%
Other values (88)65129
68.3%
ValueCountFrequency (%)
0927
1.0%
220
 
< 0.1%
316
 
< 0.1%
454
 
0.1%
571
 
0.1%
ValueCountFrequency (%)
9937
< 0.1%
971
 
< 0.1%
965
 
< 0.1%
953
 
< 0.1%
944
 
< 0.1%

LFC6
Real number (ℝ≥0)

ZEROS

Distinct98
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean64.11079319
Minimum0
Maximum99
Zeros1937
Zeros (%)2.0%
Negative0
Negative (%)0.0%
Memory size745.5 KiB
2022-11-23T02:49:59.884088image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile37
Q157
median66
Q374
95-th percentile86
Maximum99
Range99
Interquartile range (IQR)17

Descriptive statistics

Standard deviation16.39004109
Coefficient of variation (CV)0.255651822
Kurtosis3.471450244
Mean64.11079319
Median Absolute Deviation (MAD)9
Skewness-1.250987632
Sum6116939
Variance268.6334469
MonotonicityNot monotonic
2022-11-23T02:49:59.956193image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
683152
 
3.3%
693094
 
3.2%
653076
 
3.2%
672972
 
3.1%
702955
 
3.1%
712928
 
3.1%
642895
 
3.0%
632868
 
3.0%
662863
 
3.0%
722839
 
3.0%
Other values (88)65770
68.9%
ValueCountFrequency (%)
01937
2.0%
31
 
< 0.1%
41
 
< 0.1%
52
 
< 0.1%
64
 
< 0.1%
ValueCountFrequency (%)
991513
1.6%
986
 
< 0.1%
9715
 
< 0.1%
9655
 
0.1%
95109
 
0.1%

LFC7
Real number (ℝ≥0)

ZEROS

Distinct100
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean48.79856831
Minimum0
Maximum99
Zeros2525
Zeros (%)2.6%
Negative0
Negative (%)0.0%
Memory size745.5 KiB
2022-11-23T02:50:00.029956image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile17
Q140
median50
Q360
95-th percentile74
Maximum99
Range99
Interquartile range (IQR)20

Descriptive statistics

Standard deviation17.28241317
Coefficient of variation (CV)0.354158201
Kurtosis0.7845203861
Mean48.79856831
Median Absolute Deviation (MAD)10
Skewness-0.4829581022
Sum4655969
Variance298.6818049
MonotonicityNot monotonic
2022-11-23T02:50:00.101532image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
552704
 
2.8%
522659
 
2.8%
502638
 
2.8%
532600
 
2.7%
542535
 
2.7%
512530
 
2.7%
02525
 
2.6%
482515
 
2.6%
562468
 
2.6%
472441
 
2.6%
Other values (90)69797
73.2%
ValueCountFrequency (%)
02525
2.6%
18
 
< 0.1%
220
 
< 0.1%
338
 
< 0.1%
459
 
0.1%
ValueCountFrequency (%)
99406
0.4%
981
 
< 0.1%
978
 
< 0.1%
9617
 
< 0.1%
9532
 
< 0.1%

LFC8
Real number (ℝ≥0)

ZEROS

Distinct98
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean70.10241898
Minimum0
Maximum99
Zeros9313
Zeros (%)9.8%
Negative0
Negative (%)0.0%
Memory size745.5 KiB
2022-11-23T02:50:00.174458image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q155
median78
Q399
95-th percentile99
Maximum99
Range99
Interquartile range (IQR)44

Descriptive statistics

Standard deviation30.76815271
Coefficient of variation (CV)0.4389028675
Kurtosis0.1566214747
Mean70.10241898
Median Absolute Deviation (MAD)21
Skewness-1.067703981
Sum6688612
Variance946.6792211
MonotonicityNot monotonic
2022-11-23T02:50:00.246408image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
9928256
29.6%
09313
 
9.8%
811355
 
1.4%
761332
 
1.4%
881312
 
1.4%
791304
 
1.4%
781298
 
1.4%
711279
 
1.3%
831262
 
1.3%
721225
 
1.3%
Other values (88)47476
49.8%
ValueCountFrequency (%)
09313
9.8%
32
 
< 0.1%
44
 
< 0.1%
58
 
< 0.1%
67
 
< 0.1%
ValueCountFrequency (%)
9928256
29.6%
98153
 
0.2%
97290
 
0.3%
96398
 
0.4%
95539
 
0.6%

LFC9
Real number (ℝ≥0)

ZEROS

Distinct96
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean62.66276779
Minimum0
Maximum99
Zeros30500
Zeros (%)32.0%
Negative0
Negative (%)0.0%
Memory size745.5 KiB
2022-11-23T02:50:00.319057image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median97
Q399
95-th percentile99
Maximum99
Range99
Interquartile range (IQR)99

Descriptive statistics

Standard deviation44.72085019
Coefficient of variation (CV)0.7136749902
Kurtosis-1.532181118
Mean62.66276779
Median Absolute Deviation (MAD)2
Skewness-0.6011122823
Sum5978780
Variance1999.954441
MonotonicityNot monotonic
2022-11-23T02:50:00.389646image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
9946942
49.2%
030500
32.0%
89597
 
0.6%
92551
 
0.6%
93548
 
0.6%
88543
 
0.6%
94512
 
0.5%
86506
 
0.5%
91492
 
0.5%
90488
 
0.5%
Other values (86)13733
 
14.4%
ValueCountFrequency (%)
030500
32.0%
41
 
< 0.1%
54
 
< 0.1%
66
 
< 0.1%
76
 
< 0.1%
ValueCountFrequency (%)
9946942
49.2%
98360
 
0.4%
97448
 
0.5%
96454
 
0.5%
95402
 
0.4%

LFC10
Real number (ℝ≥0)

ZEROS

Distinct91
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean6.636376976
Minimum0
Maximum99
Zeros28122
Zeros (%)29.5%
Negative0
Negative (%)0.0%
Memory size745.5 KiB
2022-11-23T02:50:00.461505image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median4
Q39
95-th percentile24
Maximum99
Range99
Interquartile range (IQR)9

Descriptive statistics

Standard deviation9.249520002
Coefficient of variation (CV)1.393760486
Kurtosis17.87436086
Mean6.636376976
Median Absolute Deviation (MAD)4
Skewness3.247579088
Sum633190
Variance85.55362026
MonotonicityNot monotonic
2022-11-23T02:50:00.533261image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
028122
29.5%
26627
 
6.9%
36510
 
6.8%
46019
 
6.3%
55195
 
5.4%
14695
 
4.9%
64690
 
4.9%
74300
 
4.5%
83452
 
3.6%
93112
 
3.3%
Other values (81)22690
23.8%
ValueCountFrequency (%)
028122
29.5%
14695
 
4.9%
26627
 
6.9%
36510
 
6.8%
46019
 
6.3%
ValueCountFrequency (%)
9990
0.1%
952
 
< 0.1%
911
 
< 0.1%
905
 
< 0.1%
891
 
< 0.1%

OCC1
Real number (ℝ≥0)

ZEROS

Distinct70
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean14.12276234
Minimum0
Maximum99
Zeros2169
Zeros (%)2.3%
Negative0
Negative (%)0.0%
Memory size745.5 KiB
2022-11-23T02:50:00.679896image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile3
Q18
median13
Q318
95-th percentile30
Maximum99
Range99
Interquartile range (IQR)10

Descriptive statistics

Standard deviation8.231474185
Coefficient of variation (CV)0.5828515689
Kurtosis2.703245206
Mean14.12276234
Median Absolute Deviation (MAD)5
Skewness1.120943708
Sum1347481
Variance67.75716725
MonotonicityNot monotonic
2022-11-23T02:50:00.751694image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
115982
 
6.3%
105977
 
6.3%
95819
 
6.1%
85482
 
5.7%
125397
 
5.7%
135094
 
5.3%
74582
 
4.8%
144508
 
4.7%
154210
 
4.4%
63823
 
4.0%
Other values (60)44538
46.7%
ValueCountFrequency (%)
02169
2.3%
1314
 
0.3%
2969
1.0%
31645
1.7%
42186
2.3%
ValueCountFrequency (%)
9910
< 0.1%
781
 
< 0.1%
771
 
< 0.1%
702
 
< 0.1%
681
 
< 0.1%

OCC2
Real number (ℝ≥0)

ZEROS

Distinct61
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean12.59594181
Minimum0
Maximum99
Zeros2372
Zeros (%)2.5%
Negative0
Negative (%)0.0%
Memory size745.5 KiB
2022-11-23T02:50:00.824974image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile3
Q18
median11
Q317
95-th percentile26
Maximum99
Range99
Interquartile range (IQR)9

Descriptive statistics

Standard deviation7.138636267
Coefficient of variation (CV)0.566740969
Kurtosis3.367308248
Mean12.59594181
Median Absolute Deviation (MAD)4
Skewness1.02546971
Sum1201804
Variance50.96012775
MonotonicityNot monotonic
2022-11-23T02:50:00.896805image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
86629
 
6.9%
96550
 
6.9%
106108
 
6.4%
75995
 
6.3%
115389
 
5.6%
65244
 
5.5%
125217
 
5.5%
134785
 
5.0%
144475
 
4.7%
154105
 
4.3%
Other values (51)40915
42.9%
ValueCountFrequency (%)
02372
2.5%
1351
 
0.4%
21085
 
1.1%
31863
2.0%
42820
3.0%
ValueCountFrequency (%)
9910
< 0.1%
791
 
< 0.1%
772
 
< 0.1%
683
 
< 0.1%
671
 
< 0.1%

OCC3
Real number (ℝ≥0)

ZEROS

Distinct35
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3.541053536
Minimum0
Maximum99
Zeros10097
Zeros (%)10.6%
Negative0
Negative (%)0.0%
Memory size745.5 KiB
2022-11-23T02:50:00.965321image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q12
median3
Q35
95-th percentile8
Maximum99
Range99
Interquartile range (IQR)3

Descriptive statistics

Standard deviation2.565171116
Coefficient of variation (CV)0.7244090182
Kurtosis65.10882234
Mean3.541053536
Median Absolute Deviation (MAD)1
Skewness2.864956996
Sum337859
Variance6.580102853
MonotonicityNot monotonic
2022-11-23T02:50:01.027410image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram with fixed size bins (bins=35)
ValueCountFrequency (%)
317861
18.7%
216119
16.9%
415323
16.1%
510861
11.4%
010097
10.6%
18182
8.6%
66717
 
7.0%
74126
 
4.3%
82510
 
2.6%
91495
 
1.6%
Other values (25)2121
 
2.2%
ValueCountFrequency (%)
010097
10.6%
18182
8.6%
216119
16.9%
317861
18.7%
415323
16.1%
ValueCountFrequency (%)
993
< 0.1%
401
 
< 0.1%
361
 
< 0.1%
342
< 0.1%
331
 
< 0.1%

OCC4
Real number (ℝ≥0)

ZEROS

Distinct60
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean12.40306251
Minimum0
Maximum99
Zeros1789
Zeros (%)1.9%
Negative0
Negative (%)0.0%
Memory size745.5 KiB
2022-11-23T02:50:01.095891image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile4
Q19
median12
Q315
95-th percentile22
Maximum99
Range99
Interquartile range (IQR)6

Descriptive statistics

Standard deviation5.54014584
Coefficient of variation (CV)0.4466756365
Kurtosis5.537689202
Mean12.40306251
Median Absolute Deviation (MAD)3
Skewness0.9407463739
Sum1183401
Variance30.69321593
MonotonicityNot monotonic
2022-11-23T02:50:01.169290image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
118027
 
8.4%
127909
 
8.3%
107858
 
8.2%
137176
 
7.5%
96968
 
7.3%
146544
 
6.9%
86041
 
6.3%
155746
 
6.0%
74771
 
5.0%
164700
 
4.9%
Other values (50)29672
31.1%
ValueCountFrequency (%)
01789
1.9%
1121
 
0.1%
2494
 
0.5%
3909
1.0%
41615
1.7%
ValueCountFrequency (%)
995
< 0.1%
671
 
< 0.1%
661
 
< 0.1%
653
< 0.1%
614
< 0.1%

OCC5
Real number (ℝ≥0)

ZEROS

Distinct63
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean15.50498889
Minimum0
Maximum99
Zeros1401
Zeros (%)1.5%
Negative0
Negative (%)0.0%
Memory size745.5 KiB
2022-11-23T02:50:01.243898image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile7
Q112
median15
Q319
95-th percentile25
Maximum99
Range99
Interquartile range (IQR)7

Descriptive statistics

Standard deviation5.737144559
Coefficient of variation (CV)0.3700192628
Kurtosis3.389207572
Mean15.50498889
Median Absolute Deviation (MAD)3
Skewness0.519886787
Sum1479362
Variance32.9148277
MonotonicityNot monotonic
2022-11-23T02:50:01.317213image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
147953
 
8.3%
157428
 
7.8%
137302
 
7.7%
166884
 
7.2%
176805
 
7.1%
126482
 
6.8%
185833
 
6.1%
115459
 
5.7%
194941
 
5.2%
104518
 
4.7%
Other values (53)31807
33.3%
ValueCountFrequency (%)
01401
1.5%
127
 
< 0.1%
2111
 
0.1%
3241
 
0.3%
4487
 
0.5%
ValueCountFrequency (%)
993
< 0.1%
742
< 0.1%
683
< 0.1%
633
< 0.1%
611
 
< 0.1%

OCC6
Real number (ℝ≥0)

ZEROS

Distinct27
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.4191087075
Minimum0
Maximum43
Zeros70424
Zeros (%)73.8%
Negative0
Negative (%)0.0%
Memory size745.5 KiB
2022-11-23T02:50:01.384396image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q31
95-th percentile2
Maximum43
Range43
Interquartile range (IQR)1

Descriptive statistics

Standard deviation0.9950074037
Coefficient of variation (CV)2.374103391
Kurtosis114.2558376
Mean0.4191087075
Median Absolute Deviation (MAD)0
Skewness6.760141507
Sum39988
Variance0.9900397334
MonotonicityNot monotonic
2022-11-23T02:50:01.438869image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram with fixed size bins (bins=27)
ValueCountFrequency (%)
070424
73.8%
116997
 
17.8%
24846
 
5.1%
31670
 
1.8%
4692
 
0.7%
5317
 
0.3%
6179
 
0.2%
793
 
0.1%
857
 
0.1%
933
 
< 0.1%
Other values (17)104
 
0.1%
ValueCountFrequency (%)
070424
73.8%
116997
 
17.8%
24846
 
5.1%
31670
 
1.8%
4692
 
0.7%
ValueCountFrequency (%)
431
< 0.1%
282
< 0.1%
262
< 0.1%
251
< 0.1%
241
< 0.1%

OCC7
Real number (ℝ≥0)

ZEROS

Distinct40
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1.644709261
Minimum0
Maximum55
Zeros28233
Zeros (%)29.6%
Negative0
Negative (%)0.0%
Memory size745.5 KiB
2022-11-23T02:50:01.498884image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median1
Q32
95-th percentile5
Maximum55
Range55
Interquartile range (IQR)2

Descriptive statistics

Standard deviation1.88528424
Coefficient of variation (CV)1.14627204
Kurtosis42.13012341
Mean1.644709261
Median Absolute Deviation (MAD)1
Skewness3.698775453
Sum156925
Variance3.554296666
MonotonicityNot monotonic
2022-11-23T02:50:01.559922image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram with fixed size bins (bins=40)
ValueCountFrequency (%)
028233
29.6%
125579
26.8%
220098
21.1%
310557
 
11.1%
45114
 
5.4%
52547
 
2.7%
61326
 
1.4%
7750
 
0.8%
8370
 
0.4%
9244
 
0.3%
Other values (30)594
 
0.6%
ValueCountFrequency (%)
028233
29.6%
125579
26.8%
220098
21.1%
310557
 
11.1%
45114
 
5.4%
ValueCountFrequency (%)
551
 
< 0.1%
501
 
< 0.1%
481
 
< 0.1%
431
 
< 0.1%
383
< 0.1%

OCC8
Real number (ℝ≥0)

ZEROS

Distinct63
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean10.54466943
Minimum0
Maximum99
Zeros2218
Zeros (%)2.3%
Negative0
Negative (%)0.0%
Memory size745.5 KiB
2022-11-23T02:50:01.630259image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile3
Q17
median10
Q313
95-th percentile21
Maximum99
Range99
Interquartile range (IQR)6

Descriptive statistics

Standard deviation6.027545936
Coefficient of variation (CV)0.5716201891
Kurtosis8.133419604
Mean10.54466943
Median Absolute Deviation (MAD)3
Skewness1.577090195
Sum1006088
Variance36.33131
MonotonicityNot monotonic
2022-11-23T02:50:01.776069image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
97666
 
8.0%
107647
 
8.0%
87431
 
7.8%
77270
 
7.6%
116877
 
7.2%
66538
 
6.9%
125992
 
6.3%
55532
 
5.8%
135474
 
5.7%
144560
 
4.8%
Other values (53)30425
31.9%
ValueCountFrequency (%)
02218
2.3%
1646
 
0.7%
21649
1.7%
32808
2.9%
44050
4.2%
ValueCountFrequency (%)
998
< 0.1%
742
 
< 0.1%
691
 
< 0.1%
681
 
< 0.1%
641
 
< 0.1%

OCC9
Real number (ℝ≥0)

ZEROS

Distinct69
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2.856286421
Minimum0
Maximum99
Zeros34279
Zeros (%)35.9%
Negative0
Negative (%)0.0%
Memory size745.5 KiB
2022-11-23T02:50:01.849905image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median1
Q33
95-th percentile12
Maximum99
Range99
Interquartile range (IQR)3

Descriptive statistics

Standard deviation5.106797097
Coefficient of variation (CV)1.787914916
Kurtosis27.67649118
Mean2.856286421
Median Absolute Deviation (MAD)1
Skewness4.233968132
Sum272524
Variance26.07937659
MonotonicityNot monotonic
2022-11-23T02:50:01.921131image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
034279
35.9%
119128
20.0%
212104
 
12.7%
37650
 
8.0%
44952
 
5.2%
53476
 
3.6%
62566
 
2.7%
71857
 
1.9%
81530
 
1.6%
91203
 
1.3%
Other values (59)6667
 
7.0%
ValueCountFrequency (%)
034279
35.9%
119128
20.0%
212104
 
12.7%
37650
 
8.0%
44952
 
5.2%
ValueCountFrequency (%)
993
< 0.1%
742
< 0.1%
731
 
< 0.1%
701
 
< 0.1%
662
< 0.1%

OCC10
Real number (ℝ≥0)

ZEROS

Distinct61
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean11.3764516
Minimum0
Maximum99
Zeros2634
Zeros (%)2.8%
Negative0
Negative (%)0.0%
Memory size745.5 KiB
2022-11-23T02:50:01.993688image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile2
Q17
median11
Q315
95-th percentile21
Maximum99
Range99
Interquartile range (IQR)8

Descriptive statistics

Standard deviation5.85917813
Coefficient of variation (CV)0.5150268587
Kurtosis3.265755244
Mean11.3764516
Median Absolute Deviation (MAD)4
Skewness0.6053907507
Sum1085450
Variance34.32996836
MonotonicityNot monotonic
2022-11-23T02:50:02.065532image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
126764
 
7.1%
116437
 
6.7%
106390
 
6.7%
136373
 
6.7%
96016
 
6.3%
145991
 
6.3%
155425
 
5.7%
85383
 
5.6%
75095
 
5.3%
164625
 
4.8%
Other values (51)36913
38.7%
ValueCountFrequency (%)
02634
2.8%
1914
 
1.0%
21999
2.1%
32612
2.7%
43459
3.6%
ValueCountFrequency (%)
994
< 0.1%
771
 
< 0.1%
671
 
< 0.1%
651
 
< 0.1%
641
 
< 0.1%

OCC11
Real number (ℝ≥0)

ZEROS

Distinct61
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean6.309227351
Minimum0
Maximum99
Zeros9888
Zeros (%)10.4%
Negative0
Negative (%)0.0%
Memory size745.5 KiB
2022-11-23T02:50:02.138886image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q12
median5
Q39
95-th percentile18
Maximum99
Range99
Interquartile range (IQR)7

Descriptive statistics

Standard deviation5.874675535
Coefficient of variation (CV)0.9311244006
Kurtosis5.912770084
Mean6.309227351
Median Absolute Deviation (MAD)3
Skewness1.757801539
Sum601976
Variance34.51181264
MonotonicityNot monotonic
2022-11-23T02:50:02.212193image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
210131
10.6%
09888
10.4%
39859
10.3%
48300
 
8.7%
17719
 
8.1%
57379
 
7.7%
66530
 
6.8%
75533
 
5.8%
84845
 
5.1%
93895
 
4.1%
Other values (51)21333
22.4%
ValueCountFrequency (%)
09888
10.4%
17719
8.1%
210131
10.6%
39859
10.3%
48300
8.7%
ValueCountFrequency (%)
993
< 0.1%
701
 
< 0.1%
651
 
< 0.1%
641
 
< 0.1%
612
< 0.1%

OCC12
Real number (ℝ≥0)

ZEROS

Distinct48
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean4.012241647
Minimum0
Maximum99
Zeros12087
Zeros (%)12.7%
Negative0
Negative (%)0.0%
Memory size745.5 KiB
2022-11-23T02:50:02.286559image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q12
median4
Q36
95-th percentile10
Maximum99
Range99
Interquartile range (IQR)4

Descriptive statistics

Standard deviation3.223159487
Coefficient of variation (CV)0.8033313472
Kurtosis20.32262182
Mean4.012241647
Median Absolute Deviation (MAD)2
Skewness2.038093811
Sum382816
Variance10.38875708
MonotonicityNot monotonic
2022-11-23T02:50:02.357885image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram with fixed size bins (bins=48)
ValueCountFrequency (%)
312663
13.3%
212626
13.2%
012087
12.7%
411913
12.5%
510632
11.1%
19487
9.9%
68264
8.7%
76158
6.5%
84001
 
4.2%
92694
 
2.8%
Other values (38)4887
 
5.1%
ValueCountFrequency (%)
012087
12.7%
19487
9.9%
212626
13.2%
312663
13.3%
411913
12.5%
ValueCountFrequency (%)
991
 
< 0.1%
702
< 0.1%
571
 
< 0.1%
551
 
< 0.1%
504
< 0.1%

OCC13
Real number (ℝ≥0)

ZEROS

Distinct44
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3.741877332
Minimum0
Maximum99
Zeros11776
Zeros (%)12.3%
Negative0
Negative (%)0.0%
Memory size745.5 KiB
2022-11-23T02:50:02.429403image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q12
median3
Q35
95-th percentile9
Maximum99
Range99
Interquartile range (IQR)3

Descriptive statistics

Standard deviation2.980044158
Coefficient of variation (CV)0.7964034877
Kurtosis28.66022364
Mean3.741877332
Median Absolute Deviation (MAD)2
Skewness2.300730156
Sum357020
Variance8.880663183
MonotonicityNot monotonic
2022-11-23T02:50:02.498441image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram with fixed size bins (bins=44)
ValueCountFrequency (%)
314428
15.1%
213954
14.6%
413326
14.0%
011776
12.3%
510847
11.4%
19778
10.2%
67704
8.1%
74910
 
5.1%
83029
 
3.2%
91867
 
2.0%
Other values (34)3793
 
4.0%
ValueCountFrequency (%)
011776
12.3%
19778
10.2%
213954
14.6%
314428
15.1%
413326
14.0%
ValueCountFrequency (%)
991
< 0.1%
792
< 0.1%
621
< 0.1%
581
< 0.1%
571
< 0.1%

EIC1
Real number (ℝ≥0)

ZEROS

Distinct75
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3.156804176
Minimum0
Maximum99
Zeros30576
Zeros (%)32.0%
Negative0
Negative (%)0.0%
Memory size745.5 KiB
2022-11-23T02:50:02.571174image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median1
Q34
95-th percentile13
Maximum99
Range99
Interquartile range (IQR)4

Descriptive statistics

Standard deviation5.570751041
Coefficient of variation (CV)1.764680585
Kurtosis28.33965721
Mean3.156804176
Median Absolute Deviation (MAD)1
Skewness4.304263307
Sum301197
Variance31.03326716
MonotonicityNot monotonic
2022-11-23T02:50:02.642298image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
030576
32.0%
119526
20.5%
213107
13.7%
38096
 
8.5%
45305
 
5.6%
53785
 
4.0%
62678
 
2.8%
72104
 
2.2%
81530
 
1.6%
91218
 
1.3%
Other values (65)7487
 
7.8%
ValueCountFrequency (%)
030576
32.0%
119526
20.5%
213107
13.7%
38096
 
8.5%
45305
 
5.6%
ValueCountFrequency (%)
995
< 0.1%
831
 
< 0.1%
751
 
< 0.1%
742
 
< 0.1%
731
 
< 0.1%

EIC2
Real number (ℝ≥0)

ZEROS

Distinct54
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.719175785
Minimum0
Maximum65
Zeros74066
Zeros (%)77.6%
Negative0
Negative (%)0.0%
Memory size745.5 KiB
2022-11-23T02:50:02.713844image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile4
Maximum65
Range65
Interquartile range (IQR)0

Descriptive statistics

Standard deviation2.46105296
Coefficient of variation (CV)3.422046475
Kurtosis93.34354458
Mean0.719175785
Median Absolute Deviation (MAD)0
Skewness7.769692872
Sum68618
Variance6.056781671
MonotonicityNot monotonic
2022-11-23T02:50:02.857609image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
074066
77.6%
19837
 
10.3%
24193
 
4.4%
32110
 
2.2%
41373
 
1.4%
5816
 
0.9%
6594
 
0.6%
7466
 
0.5%
8345
 
0.4%
9209
 
0.2%
Other values (44)1403
 
1.5%
ValueCountFrequency (%)
074066
77.6%
19837
 
10.3%
24193
 
4.4%
32110
 
2.2%
41373
 
1.4%
ValueCountFrequency (%)
651
< 0.1%
612
< 0.1%
581
< 0.1%
562
< 0.1%
552
< 0.1%

EIC3
Real number (ℝ≥0)

ZEROS

Distinct51
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean6.411646334
Minimum0
Maximum99
Zeros5154
Zeros (%)5.4%
Negative0
Negative (%)0.0%
Memory size745.5 KiB
2022-11-23T02:50:02.933543image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q14
median6
Q38
95-th percentile14
Maximum99
Range99
Interquartile range (IQR)4

Descriptive statistics

Standard deviation4.12236479
Coefficient of variation (CV)0.6429494978
Kurtosis20.97626909
Mean6.411646334
Median Absolute Deviation (MAD)2
Skewness1.952282284
Sum611748
Variance16.99389147
MonotonicityNot monotonic
2022-11-23T02:50:03.004034image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
511183
11.7%
610871
11.4%
410298
10.8%
79517
10.0%
38278
8.7%
88064
8.5%
96209
6.5%
25836
 
6.1%
05154
 
5.4%
104539
 
4.8%
Other values (41)15463
16.2%
ValueCountFrequency (%)
05154
5.4%
12604
 
2.7%
25836
6.1%
38278
8.7%
410298
10.8%
ValueCountFrequency (%)
996
< 0.1%
771
 
< 0.1%
602
 
< 0.1%
561
 
< 0.1%
502
 
< 0.1%

EIC4
Real number (ℝ≥0)

ZEROS

Distinct73
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean16.96844212
Minimum0
Maximum99
Zeros2055
Zeros (%)2.2%
Negative0
Negative (%)0.0%
Memory size745.5 KiB
2022-11-23T02:50:03.076023image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile3
Q19
median15
Q323
95-th percentile36
Maximum99
Range99
Interquartile range (IQR)14

Descriptive statistics

Standard deviation10.16710222
Coefficient of variation (CV)0.5991771164
Kurtosis0.9934981112
Mean16.96844212
Median Absolute Deviation (MAD)7
Skewness0.8593484094
Sum1618993
Variance103.3699676
MonotonicityNot monotonic
2022-11-23T02:50:03.149277image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
114154
 
4.4%
124089
 
4.3%
104085
 
4.3%
134071
 
4.3%
94041
 
4.2%
143833
 
4.0%
83812
 
4.0%
163792
 
4.0%
153652
 
3.8%
173512
 
3.7%
Other values (63)56371
59.1%
ValueCountFrequency (%)
02055
2.2%
1394
 
0.4%
21017
1.1%
31604
1.7%
42053
2.2%
ValueCountFrequency (%)
995
< 0.1%
831
 
< 0.1%
791
 
< 0.1%
723
< 0.1%
702
 
< 0.1%

EIC5
Real number (ℝ≥0)

ZEROS

Distinct45
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean4.280467866
Minimum0
Maximum99
Zeros8729
Zeros (%)9.1%
Negative0
Negative (%)0.0%
Memory size745.5 KiB
2022-11-23T02:50:03.222790image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q12
median4
Q36
95-th percentile10
Maximum99
Range99
Interquartile range (IQR)4

Descriptive statistics

Standard deviation3.201797702
Coefficient of variation (CV)0.7480018079
Kurtosis26.90801722
Mean4.280467866
Median Absolute Deviation (MAD)2
Skewness2.375715152
Sum408408
Variance10.25150853
MonotonicityNot monotonic
2022-11-23T02:50:03.292211image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram with fixed size bins (bins=45)
ValueCountFrequency (%)
316041
16.8%
414699
15.4%
212691
13.3%
511550
12.1%
08729
9.1%
68023
8.4%
16001
 
6.3%
75637
 
5.9%
83872
 
4.1%
92483
 
2.6%
Other values (35)5686
 
6.0%
ValueCountFrequency (%)
08729
9.1%
16001
 
6.3%
212691
13.3%
316041
16.8%
414699
15.4%
ValueCountFrequency (%)
992
< 0.1%
603
< 0.1%
581
 
< 0.1%
561
 
< 0.1%
521
 
< 0.1%

EIC6
Real number (ℝ≥0)

ZEROS

Distinct34
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2.714805266
Minimum0
Maximum64
Zeros15463
Zeros (%)16.2%
Negative0
Negative (%)0.0%
Memory size745.5 KiB
2022-11-23T02:50:03.358284image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q11
median2
Q34
95-th percentile7
Maximum64
Range64
Interquartile range (IQR)3

Descriptive statistics

Standard deviation2.335400188
Coefficient of variation (CV)0.8602459326
Kurtosis15.47064835
Mean2.714805266
Median Absolute Deviation (MAD)1
Skewness2.109739136
Sum259025
Variance5.454094036
MonotonicityNot monotonic
2022-11-23T02:50:03.419007image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram with fixed size bins (bins=34)
ValueCountFrequency (%)
220867
21.9%
317028
17.8%
015463
16.2%
114540
15.2%
411426
12.0%
56485
 
6.8%
63984
 
4.2%
72263
 
2.4%
81231
 
1.3%
9731
 
0.8%
Other values (24)1394
 
1.5%
ValueCountFrequency (%)
015463
16.2%
114540
15.2%
220867
21.9%
317028
17.8%
411426
12.0%
ValueCountFrequency (%)
641
< 0.1%
501
< 0.1%
391
< 0.1%
381
< 0.1%
342
< 0.1%

EIC7
Real number (ℝ≥0)

ZEROS

Distinct43
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean4.369230285
Minimum0
Maximum99
Zeros8628
Zeros (%)9.0%
Negative0
Negative (%)0.0%
Memory size745.5 KiB
2022-11-23T02:50:03.488337image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q12
median4
Q36
95-th percentile10
Maximum99
Range99
Interquartile range (IQR)4

Descriptive statistics

Standard deviation3.097411939
Coefficient of variation (CV)0.7089147828
Kurtosis44.90507879
Mean4.369230285
Median Absolute Deviation (MAD)2
Skewness2.596629058
Sum416877
Variance9.59396072
MonotonicityNot monotonic
2022-11-23T02:50:03.555751image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram with fixed size bins (bins=43)
ValueCountFrequency (%)
314306
15.0%
414055
14.7%
511855
12.4%
211772
12.3%
69719
10.2%
08628
9.0%
76552
6.9%
15919
6.2%
84515
 
4.7%
92872
 
3.0%
Other values (33)5219
 
5.5%
ValueCountFrequency (%)
08628
9.0%
15919
6.2%
211772
12.3%
314306
15.0%
414055
14.7%
ValueCountFrequency (%)
994
< 0.1%
611
 
< 0.1%
571
 
< 0.1%
541
 
< 0.1%
501
 
< 0.1%

EIC8
Real number (ℝ≥0)

ZEROS

Distinct71
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean16.91788245
Minimum0
Maximum99
Zeros1338
Zeros (%)1.4%
Negative0
Negative (%)0.0%
Memory size745.5 KiB
2022-11-23T02:50:03.626796image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile8
Q113
median17
Q320
95-th percentile27
Maximum99
Range99
Interquartile range (IQR)7

Descriptive statistics

Standard deviation6.178758891
Coefficient of variation (CV)0.3652205831
Kurtosis4.449461053
Mean16.91788245
Median Absolute Deviation (MAD)4
Skewness0.6945596876
Sum1614169
Variance38.17706144
MonotonicityNot monotonic
2022-11-23T02:50:03.699326image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
167622
 
8.0%
157360
 
7.7%
177248
 
7.6%
146951
 
7.3%
186907
 
7.2%
195952
 
6.2%
135938
 
6.2%
205171
 
5.4%
124840
 
5.1%
214344
 
4.6%
Other values (61)33079
34.7%
ValueCountFrequency (%)
01338
1.4%
113
 
< 0.1%
285
 
0.1%
3197
 
0.2%
4371
 
0.4%
ValueCountFrequency (%)
994
< 0.1%
902
< 0.1%
851
 
< 0.1%
723
< 0.1%
711
 
< 0.1%

EIC9
Real number (ℝ≥0)

ZEROS

Distinct50
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean6.860730306
Minimum0
Maximum99
Zeros4980
Zeros (%)5.2%
Negative0
Negative (%)0.0%
Memory size745.5 KiB
2022-11-23T02:50:03.773154image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q14
median6
Q39
95-th percentile15
Maximum99
Range99
Interquartile range (IQR)5

Descriptive statistics

Standard deviation4.660567054
Coefficient of variation (CV)0.679310634
Kurtosis10.11873961
Mean6.860730306
Median Absolute Deviation (MAD)3
Skewness1.603823861
Sum654596
Variance21.72088527
MonotonicityNot monotonic
2022-11-23T02:50:03.846496image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
410225
10.7%
510067
10.6%
68839
9.3%
38782
9.2%
78074
8.5%
87179
 
7.5%
26167
 
6.5%
96100
 
6.4%
105001
 
5.2%
04980
 
5.2%
Other values (40)19998
21.0%
ValueCountFrequency (%)
04980
5.2%
12499
 
2.6%
26167
6.5%
38782
9.2%
410225
10.7%
ValueCountFrequency (%)
994
< 0.1%
592
< 0.1%
532
< 0.1%
523
< 0.1%
474
< 0.1%

EIC10
Real number (ℝ≥0)

ZEROS

Distinct44
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean4.680637656
Minimum0
Maximum99
Zeros6277
Zeros (%)6.6%
Negative0
Negative (%)0.0%
Memory size745.5 KiB
2022-11-23T02:50:03.993576image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q13
median4
Q36
95-th percentile10
Maximum99
Range99
Interquartile range (IQR)3

Descriptive statistics

Standard deviation3.074098458
Coefficient of variation (CV)0.6567691594
Kurtosis45.39841902
Mean4.680637656
Median Absolute Deviation (MAD)2
Skewness2.606298382
Sum446589
Variance9.450081332
MonotonicityNot monotonic
2022-11-23T02:50:04.061847image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram with fixed size bins (bins=44)
ValueCountFrequency (%)
415234
16.0%
314454
15.1%
513452
14.1%
210277
10.8%
610266
10.8%
77340
7.7%
06277
6.6%
84823
 
5.1%
14389
 
4.6%
93139
 
3.3%
Other values (34)5761
 
6.0%
ValueCountFrequency (%)
06277
6.6%
14389
 
4.6%
210277
10.8%
314454
15.1%
415234
16.0%
ValueCountFrequency (%)
994
< 0.1%
781
 
< 0.1%
471
 
< 0.1%
431
 
< 0.1%
411
 
< 0.1%

EIC11
Real number (ℝ≥0)

ZEROS

Distinct50
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3.286410514
Minimum0
Maximum99
Zeros11713
Zeros (%)12.3%
Negative0
Negative (%)0.0%
Memory size745.5 KiB
2022-11-23T02:50:04.134314image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q12
median3
Q34
95-th percentile9
Maximum99
Range99
Interquartile range (IQR)2

Descriptive statistics

Standard deviation3.227264765
Coefficient of variation (CV)0.9820029333
Kurtosis68.14819384
Mean3.286410514
Median Absolute Deviation (MAD)1
Skewness4.625159861
Sum313563
Variance10.41523786
MonotonicityNot monotonic
2022-11-23T02:50:04.207680image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
220788
21.8%
318507
19.4%
112133
12.7%
011713
12.3%
411470
12.0%
57041
 
7.4%
64315
 
4.5%
72711
 
2.8%
81758
 
1.8%
91209
 
1.3%
Other values (40)3767
 
3.9%
ValueCountFrequency (%)
011713
12.3%
112133
12.7%
220788
21.8%
318507
19.4%
411470
12.0%
ValueCountFrequency (%)
996
< 0.1%
621
 
< 0.1%
602
 
< 0.1%
531
 
< 0.1%
511
 
< 0.1%

EIC12
Real number (ℝ≥0)

ZEROS

Distinct41
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1.547415419
Minimum0
Maximum67
Zeros33308
Zeros (%)34.9%
Negative0
Negative (%)0.0%
Memory size745.5 KiB
2022-11-23T02:50:04.278679image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median1
Q32
95-th percentile5
Maximum67
Range67
Interquartile range (IQR)2

Descriptive statistics

Standard deviation2.230989435
Coefficient of variation (CV)1.441752103
Kurtosis61.84386047
Mean1.547415419
Median Absolute Deviation (MAD)1
Skewness5.129374362
Sum147642
Variance4.977313859
MonotonicityNot monotonic
2022-11-23T02:50:04.343696image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram with fixed size bins (bins=41)
ValueCountFrequency (%)
033308
34.9%
127039
28.3%
217171
18.0%
37911
 
8.3%
43869
 
4.1%
52137
 
2.2%
61192
 
1.2%
7761
 
0.8%
8512
 
0.5%
9390
 
0.4%
Other values (31)1122
 
1.2%
ValueCountFrequency (%)
033308
34.9%
127039
28.3%
217171
18.0%
37911
 
8.3%
43869
 
4.1%
ValueCountFrequency (%)
671
 
< 0.1%
613
< 0.1%
532
< 0.1%
501
 
< 0.1%
491
 
< 0.1%

EIC13
Real number (ℝ≥0)

ZEROS

Distinct56
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean8.047625037
Minimum0
Maximum99
Zeros2943
Zeros (%)3.1%
Negative0
Negative (%)0.0%
Memory size745.5 KiB
2022-11-23T02:50:04.417672image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile2
Q15
median8
Q310
95-th percentile16
Maximum99
Range99
Interquartile range (IQR)5

Descriptive statistics

Standard deviation4.496398743
Coefficient of variation (CV)0.5587236884
Kurtosis13.96877303
Mean8.047625037
Median Absolute Deviation (MAD)3
Skewness1.801177496
Sum767840
Variance20.21760166
MonotonicityNot monotonic
2022-11-23T02:50:04.491019image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
710881
11.4%
810471
11.0%
610400
10.9%
58745
9.2%
98708
9.1%
106903
 
7.2%
46601
 
6.9%
115440
 
5.7%
34429
 
4.6%
124056
 
4.3%
Other values (46)18778
19.7%
ValueCountFrequency (%)
02943
3.1%
1927
 
1.0%
22623
 
2.7%
34429
4.6%
46601
6.9%
ValueCountFrequency (%)
994
< 0.1%
751
 
< 0.1%
681
 
< 0.1%
641
 
< 0.1%
602
< 0.1%

EIC14
Real number (ℝ≥0)

ZEROS

Distinct69
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean8.055653377
Minimum0
Maximum99
Zeros3644
Zeros (%)3.8%
Negative0
Negative (%)0.0%
Memory size745.5 KiB
2022-11-23T02:50:04.565838image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile1
Q15
median7
Q310
95-th percentile17
Maximum99
Range99
Interquartile range (IQR)5

Descriptive statistics

Standard deviation5.363319851
Coefficient of variation (CV)0.665783345
Kurtosis13.00737605
Mean8.055653377
Median Absolute Deviation (MAD)3
Skewness2.345419006
Sum768606
Variance28.76519983
MonotonicityNot monotonic
2022-11-23T02:50:04.639106image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
710588
11.1%
610390
10.9%
89180
9.6%
59133
9.6%
97493
 
7.9%
47303
 
7.7%
106193
 
6.5%
35406
 
5.7%
114640
 
4.9%
03644
 
3.8%
Other values (59)21442
22.5%
ValueCountFrequency (%)
03644
3.8%
11246
 
1.3%
23286
3.4%
35406
5.7%
47303
7.7%
ValueCountFrequency (%)
992
< 0.1%
771
< 0.1%
722
< 0.1%
701
< 0.1%
691
< 0.1%

EIC15
Real number (ℝ≥0)

ZEROS

Distinct58
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean6.477937786
Minimum0
Maximum99
Zeros4411
Zeros (%)4.6%
Negative0
Negative (%)0.0%
Memory size745.5 KiB
2022-11-23T02:50:04.713933image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile1
Q14
median6
Q38
95-th percentile14
Maximum99
Range99
Interquartile range (IQR)4

Descriptive statistics

Standard deviation4.354418932
Coefficient of variation (CV)0.6721921507
Kurtosis18.91402724
Mean6.477937786
Median Absolute Deviation (MAD)2
Skewness2.271187644
Sum618073
Variance18.96096424
MonotonicityNot monotonic
2022-11-23T02:50:04.784498image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
512174
12.8%
411613
12.2%
610923
11.4%
79254
9.7%
39063
9.5%
87258
7.6%
25633
 
5.9%
95629
 
5.9%
04411
 
4.6%
104075
 
4.3%
Other values (48)15379
16.1%
ValueCountFrequency (%)
04411
 
4.6%
12229
 
2.3%
25633
5.9%
39063
9.5%
411613
12.2%
ValueCountFrequency (%)
994
< 0.1%
821
 
< 0.1%
762
< 0.1%
682
< 0.1%
651
 
< 0.1%

EIC16
Real number (ℝ≥0)

ZEROS

Distinct51
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean4.585261812
Minimum0
Maximum99
Zeros9008
Zeros (%)9.4%
Negative0
Negative (%)0.0%
Memory size745.5 KiB
2022-11-23T02:50:04.856727image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q12
median4
Q36
95-th percentile12
Maximum99
Range99
Interquartile range (IQR)4

Descriptive statistics

Standard deviation4.083389141
Coefficient of variation (CV)0.8905465618
Kurtosis12.67188759
Mean4.585261812
Median Absolute Deviation (MAD)2
Skewness2.418231434
Sum437489
Variance16.67406688
MonotonicityNot monotonic
2022-11-23T02:50:04.928204image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
314777
15.5%
213679
14.3%
412747
13.4%
59536
10.0%
09008
9.4%
17946
8.3%
67255
7.6%
75293
 
5.5%
83597
 
3.8%
92570
 
2.7%
Other values (41)9004
9.4%
ValueCountFrequency (%)
09008
9.4%
17946
8.3%
213679
14.3%
314777
15.5%
412747
13.4%
ValueCountFrequency (%)
991
< 0.1%
591
< 0.1%
571
< 0.1%
552
< 0.1%
541
< 0.1%

OEDC1
Real number (ℝ≥0)

ZEROS

Distinct54
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean7.008667673
Minimum0
Maximum99
Zeros3860
Zeros (%)4.0%
Negative0
Negative (%)0.0%
Memory size745.5 KiB
2022-11-23T02:50:05.074556image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile1
Q14
median6
Q39
95-th percentile15
Maximum99
Range99
Interquartile range (IQR)5

Descriptive statistics

Standard deviation4.267493907
Coefficient of variation (CV)0.6088880378
Kurtosis11.09181692
Mean7.008667673
Median Absolute Deviation (MAD)2
Skewness1.692472789
Sum668711
Variance18.21150425
MonotonicityNot monotonic
2022-11-23T02:50:05.145053image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
511345
11.9%
611295
11.8%
710259
10.8%
49372
9.8%
88764
9.2%
96942
7.3%
36790
 
7.1%
105219
 
5.5%
24278
 
4.5%
114015
 
4.2%
Other values (44)17133
18.0%
ValueCountFrequency (%)
03860
4.0%
11727
 
1.8%
24278
4.5%
36790
7.1%
49372
9.8%
ValueCountFrequency (%)
992
 
< 0.1%
641
 
< 0.1%
598
< 0.1%
571
 
< 0.1%
551
 
< 0.1%

OEDC2
Real number (ℝ≥0)

ZEROS

Distinct63
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean4.675407706
Minimum0
Maximum99
Zeros11983
Zeros (%)12.6%
Negative0
Negative (%)0.0%
Memory size745.5 KiB
2022-11-23T02:50:05.216800image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q12
median3
Q36
95-th percentile14
Maximum99
Range99
Interquartile range (IQR)4

Descriptive statistics

Standard deviation5.064888376
Coefficient of variation (CV)1.083304108
Kurtosis14.23765692
Mean4.675407706
Median Absolute Deviation (MAD)2
Skewness2.880220035
Sum446090
Variance25.65309426
MonotonicityNot monotonic
2022-11-23T02:50:05.289115image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
214611
15.3%
313161
13.8%
011983
12.6%
110506
11.0%
410125
10.6%
57603
8.0%
65826
 
6.1%
74458
 
4.7%
83482
 
3.6%
92545
 
2.7%
Other values (53)11112
11.6%
ValueCountFrequency (%)
011983
12.6%
110506
11.0%
214611
15.3%
313161
13.8%
410125
10.6%
ValueCountFrequency (%)
991
 
< 0.1%
611
 
< 0.1%
604
< 0.1%
592
< 0.1%
583
< 0.1%

OEDC3
Real number (ℝ≥0)

ZEROS

Distinct54
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3.187062424
Minimum0
Maximum99
Zeros18627
Zeros (%)19.5%
Negative0
Negative (%)0.0%
Memory size745.5 KiB
2022-11-23T02:50:05.364937image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q11
median2
Q34
95-th percentile10
Maximum99
Range99
Interquartile range (IQR)3

Descriptive statistics

Standard deviation4.161942946
Coefficient of variation (CV)1.305886861
Kurtosis25.53412344
Mean3.187062424
Median Absolute Deviation (MAD)1
Skewness3.891066408
Sum304084
Variance17.32176908
MonotonicityNot monotonic
2022-11-23T02:50:05.443712image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
218877
19.8%
018627
19.5%
117332
18.2%
312642
13.2%
48007
8.4%
55204
 
5.5%
63591
 
3.8%
72463
 
2.6%
81891
 
2.0%
91287
 
1.3%
Other values (44)5491
 
5.8%
ValueCountFrequency (%)
018627
19.5%
117332
18.2%
218877
19.8%
312642
13.2%
48007
8.4%
ValueCountFrequency (%)
991
 
< 0.1%
641
 
< 0.1%
604
< 0.1%
562
 
< 0.1%
516
< 0.1%

OEDC4
Real number (ℝ≥0)

ZEROS

Distinct66
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean8.048536872
Minimum0
Maximum99
Zeros3947
Zeros (%)4.1%
Negative0
Negative (%)0.0%
Memory size745.5 KiB
2022-11-23T02:50:05.522145image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile1
Q14
median7
Q310
95-th percentile18
Maximum99
Range99
Interquartile range (IQR)6

Descriptive statistics

Standard deviation5.471748372
Coefficient of variation (CV)0.6798438597
Kurtosis9.187931357
Mean8.048536872
Median Absolute Deviation (MAD)3
Skewness1.827006165
Sum767927
Variance29.94003025
MonotonicityNot monotonic
2022-11-23T02:50:05.598018image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
69508
 
10.0%
59241
 
9.7%
78887
 
9.3%
48012
 
8.4%
87804
 
8.2%
96963
 
7.3%
36095
 
6.4%
105430
 
5.7%
114486
 
4.7%
24263
 
4.5%
Other values (56)24723
25.9%
ValueCountFrequency (%)
03947
4.1%
11697
 
1.8%
24263
4.5%
36095
6.4%
48012
8.4%
ValueCountFrequency (%)
994
< 0.1%
781
 
< 0.1%
731
 
< 0.1%
711
 
< 0.1%
672
< 0.1%

OEDC5
Real number (ℝ≥0)

Distinct91
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean69.56771685
Minimum0
Maximum99
Zeros908
Zeros (%)1.0%
Negative0
Negative (%)0.0%
Memory size745.5 KiB
2022-11-23T02:50:05.672775image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile50
Q164
median71
Q377
95-th percentile85
Maximum99
Range99
Interquartile range (IQR)13

Descriptive statistics

Standard deviation12.3009651
Coefficient of variation (CV)0.1768200203
Kurtosis8.57462369
Mean69.56771685
Median Absolute Deviation (MAD)7
Skewness-2.004090496
Sum6637595
Variance151.3137425
MonotonicityNot monotonic
2022-11-23T02:50:05.746515image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
754134
 
4.3%
744024
 
4.2%
734022
 
4.2%
723979
 
4.2%
763951
 
4.1%
773785
 
4.0%
713765
 
3.9%
703708
 
3.9%
693590
 
3.8%
783562
 
3.7%
Other values (81)56892
59.6%
ValueCountFrequency (%)
0908
1.0%
91
 
< 0.1%
111
 
< 0.1%
121
 
< 0.1%
131
 
< 0.1%
ValueCountFrequency (%)
99150
0.2%
989
 
< 0.1%
9716
 
< 0.1%
9628
 
< 0.1%
9540
 
< 0.1%

OEDC6
Real number (ℝ≥0)

ZEROS

Distinct63
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean6.086299417
Minimum0
Maximum99
Zeros4834
Zeros (%)5.1%
Negative0
Negative (%)0.0%
Memory size745.5 KiB
2022-11-23T02:50:05.821753image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q13
median5
Q38
95-th percentile14
Maximum99
Range99
Interquartile range (IQR)5

Descriptive statistics

Standard deviation4.355084231
Coefficient of variation (CV)0.71555537
Kurtosis29.95177834
Mean6.086299417
Median Absolute Deviation (MAD)2
Skewness2.992306553
Sum580706
Variance18.96675866
MonotonicityNot monotonic
2022-11-23T02:50:05.893362image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
412487
13.1%
512252
12.8%
610831
11.4%
310426
10.9%
78627
9.0%
86753
7.1%
26652
7.0%
94928
 
5.2%
04834
 
5.1%
103722
 
3.9%
Other values (53)13900
14.6%
ValueCountFrequency (%)
04834
 
5.1%
12903
 
3.0%
26652
7.0%
310426
10.9%
412487
13.1%
ValueCountFrequency (%)
997
< 0.1%
841
 
< 0.1%
821
 
< 0.1%
811
 
< 0.1%
741
 
< 0.1%

OEDC7
Real number (ℝ≥0)

ZEROS

Distinct25
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.4977361338
Minimum0
Maximum99
Zeros65047
Zeros (%)68.2%
Negative0
Negative (%)0.0%
Memory size745.5 KiB
2022-11-23T02:50:05.958059image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q31
95-th percentile2
Maximum99
Range99
Interquartile range (IQR)1

Descriptive statistics

Standard deviation1.035566235
Coefficient of variation (CV)2.080552657
Kurtosis941.9144014
Mean0.4977361338
Median Absolute Deviation (MAD)0
Skewness13.6585418
Sum47490
Variance1.072397428
MonotonicityNot monotonic
2022-11-23T02:50:06.014747image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram with fixed size bins (bins=25)
ValueCountFrequency (%)
065047
68.2%
120409
 
21.4%
26344
 
6.6%
32102
 
2.2%
4767
 
0.8%
5331
 
0.3%
6160
 
0.2%
795
 
0.1%
859
 
0.1%
927
 
< 0.1%
Other values (15)71
 
0.1%
ValueCountFrequency (%)
065047
68.2%
120409
 
21.4%
26344
 
6.6%
32102
 
2.2%
4767
 
0.8%
ValueCountFrequency (%)
991
< 0.1%
491
< 0.1%
281
< 0.1%
271
< 0.1%
231
< 0.1%

EC1
Real number (ℝ≥0)

Distinct79
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean128.0225339
Minimum0
Maximum170
Zeros774
Zeros (%)0.8%
Negative0
Negative (%)0.0%
Memory size745.5 KiB
2022-11-23T02:50:06.080042image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile120
Q1120
median120
Q3140
95-th percentile160
Maximum170
Range170
Interquartile range (IQR)20

Descriptive statistics

Standard deviation17.73557627
Coefficient of variation (CV)0.1385348011
Kurtosis20.19421239
Mean128.0225339
Median Absolute Deviation (MAD)1
Skewness-2.547111473
Sum12214886
Variance314.5506656
MonotonicityNot monotonic
2022-11-23T02:50:06.224896image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
12047262
49.5%
14010326
 
10.8%
1606467
 
6.8%
1301099
 
1.2%
1261037
 
1.1%
1271026
 
1.1%
1321017
 
1.1%
1221012
 
1.1%
1281001
 
1.0%
124993
 
1.0%
Other values (69)24172
25.3%
ValueCountFrequency (%)
0774
0.8%
89253
 
0.3%
9021
 
< 0.1%
9118
 
< 0.1%
9212
 
< 0.1%
ValueCountFrequency (%)
17083
0.1%
1662
 
< 0.1%
1643
 
< 0.1%
16310
 
< 0.1%
16222
 
< 0.1%

EC2
Real number (ℝ≥0)

ZEROS

Distinct76
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean8.770207102
Minimum0
Maximum99
Zeros6218
Zeros (%)6.5%
Negative0
Negative (%)0.0%
Memory size745.5 KiB
2022-11-23T02:50:06.300592image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q13
median6
Q312
95-th percentile25
Maximum99
Range99
Interquartile range (IQR)9

Descriptive statistics

Standard deviation8.27865894
Coefficient of variation (CV)0.9439525023
Kurtosis5.374752051
Mean8.770207102
Median Absolute Deviation (MAD)4
Skewness1.838959052
Sum836783
Variance68.53619384
MonotonicityNot monotonic
2022-11-23T02:50:06.374074image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
28083
 
8.5%
37770
 
8.1%
17317
 
7.7%
46953
 
7.3%
06218
 
6.5%
56185
 
6.5%
65696
 
6.0%
75005
 
5.2%
84606
 
4.8%
94091
 
4.3%
Other values (66)33488
35.1%
ValueCountFrequency (%)
06218
6.5%
17317
7.7%
28083
8.5%
37770
8.1%
46953
7.3%
ValueCountFrequency (%)
994
< 0.1%
782
< 0.1%
761
 
< 0.1%
741
 
< 0.1%
722
< 0.1%

EC3
Real number (ℝ≥0)

ZEROS

Distinct63
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean12.84596277
Minimum0
Maximum99
Zeros1879
Zeros (%)2.0%
Negative0
Negative (%)0.0%
Memory size745.5 KiB
2022-11-23T02:50:06.449060image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile2
Q17
median12
Q318
95-th percentile26
Maximum99
Range99
Interquartile range (IQR)11

Descriptive statistics

Standard deviation7.602447295
Coefficient of variation (CV)0.5918160772
Kurtosis1.187423506
Mean12.84596277
Median Absolute Deviation (MAD)5
Skewness0.6975997684
Sum1225659
Variance57.79720488
MonotonicityNot monotonic
2022-11-23T02:50:06.520780image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
104935
 
5.2%
94891
 
5.1%
84698
 
4.9%
114682
 
4.9%
124599
 
4.8%
74599
 
4.8%
134526
 
4.7%
64333
 
4.5%
154318
 
4.5%
144240
 
4.4%
Other values (53)49591
52.0%
ValueCountFrequency (%)
01879
2.0%
11548
1.6%
22484
2.6%
33371
3.5%
43761
3.9%
ValueCountFrequency (%)
994
< 0.1%
821
 
< 0.1%
624
< 0.1%
611
 
< 0.1%
584
< 0.1%

EC4
Real number (ℝ≥0)

ZEROS

Distinct80
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean28.72554815
Minimum0
Maximum99
Zeros955
Zeros (%)1.0%
Negative0
Negative (%)0.0%
Memory size745.5 KiB
2022-11-23T02:50:06.594267image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile11
Q122
median29
Q336
95-th percentile45
Maximum99
Range99
Interquartile range (IQR)14

Descriptive statistics

Standard deviation10.25894072
Coefficient of variation (CV)0.3571364651
Kurtosis0.1743189373
Mean28.72554815
Median Absolute Deviation (MAD)7
Skewness-0.1683992413
Sum2740762
Variance105.2458648
MonotonicityNot monotonic
2022-11-23T02:50:06.668076image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
313897
 
4.1%
323840
 
4.0%
303839
 
4.0%
293785
 
4.0%
343738
 
3.9%
333649
 
3.8%
283495
 
3.7%
273377
 
3.5%
353326
 
3.5%
263244
 
3.4%
Other values (70)59222
62.1%
ValueCountFrequency (%)
0955
1.0%
118
 
< 0.1%
243
 
< 0.1%
387
 
0.1%
4131
 
0.1%
ValueCountFrequency (%)
9910
< 0.1%
901
 
< 0.1%
881
 
< 0.1%
781
 
< 0.1%
751
 
< 0.1%

EC5
Real number (ℝ≥0)

ZEROS

Distinct69
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean20.79133652
Minimum0
Maximum99
Zeros970
Zeros (%)1.0%
Negative0
Negative (%)0.0%
Memory size745.5 KiB
2022-11-23T02:50:06.744814image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile10
Q116
median21
Q325
95-th percentile32
Maximum99
Range99
Interquartile range (IQR)9

Descriptive statistics

Standard deviation7.123331434
Coefficient of variation (CV)0.3426105593
Kurtosis1.075792482
Mean20.79133652
Median Absolute Deviation (MAD)5
Skewness0.08037732093
Sum1983743
Variance50.74185072
MonotonicityNot monotonic
2022-11-23T02:50:06.816839image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
235519
 
5.8%
215498
 
5.8%
225365
 
5.6%
205350
 
5.6%
195101
 
5.3%
245049
 
5.3%
185008
 
5.2%
174741
 
5.0%
254590
 
4.8%
264195
 
4.4%
Other values (59)44996
47.2%
ValueCountFrequency (%)
0970
1.0%
120
 
< 0.1%
255
 
0.1%
398
 
0.1%
4164
 
0.2%
ValueCountFrequency (%)
993
< 0.1%
831
 
< 0.1%
751
 
< 0.1%
741
 
< 0.1%
731
 
< 0.1%

EC6
Real number (ℝ≥0)

ZEROS

Distinct36
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean6.544617029
Minimum0
Maximum37
Zeros2637
Zeros (%)2.8%
Negative0
Negative (%)0.0%
Memory size745.5 KiB
2022-11-23T02:50:06.884720image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile2
Q14
median6
Q39
95-th percentile12
Maximum37
Range37
Interquartile range (IQR)5

Descriptive statistics

Standard deviation3.397795052
Coefficient of variation (CV)0.5191740078
Kurtosis1.352058285
Mean6.544617029
Median Absolute Deviation (MAD)2
Skewness0.6455382431
Sum624435
Variance11.54501122
MonotonicityNot monotonic
2022-11-23T02:50:06.947642image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram with fixed size bins (bins=36)
ValueCountFrequency (%)
611711
12.3%
511333
11.9%
711078
11.6%
49925
10.4%
89476
9.9%
97693
8.1%
37543
7.9%
105681
6.0%
24956
5.2%
114005
 
4.2%
Other values (26)12011
12.6%
ValueCountFrequency (%)
02637
 
2.8%
12127
 
2.2%
24956
5.2%
37543
7.9%
49925
10.4%
ValueCountFrequency (%)
371
 
< 0.1%
353
< 0.1%
341
 
< 0.1%
331
 
< 0.1%
321
 
< 0.1%

EC7
Real number (ℝ≥0)

ZEROS

Distinct61
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean14.0698235
Minimum0
Maximum99
Zeros2138
Zeros (%)2.2%
Negative0
Negative (%)0.0%
Memory size745.5 KiB
2022-11-23T02:50:07.020990image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile2
Q17
median12
Q320
95-th percentile33
Maximum99
Range99
Interquartile range (IQR)13

Descriptive statistics

Standard deviation9.729814063
Coefficient of variation (CV)0.6915377482
Kurtosis0.5069341419
Mean14.0698235
Median Absolute Deviation (MAD)6
Skewness0.919878111
Sum1342430
Variance94.6692817
MonotonicityNot monotonic
2022-11-23T02:50:07.092750image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
75515
 
5.8%
65361
 
5.6%
85210
 
5.5%
55125
 
5.4%
94641
 
4.9%
104442
 
4.7%
44331
 
4.5%
113893
 
4.1%
123621
 
3.8%
133355
 
3.5%
Other values (51)49918
52.3%
ValueCountFrequency (%)
02138
2.2%
11112
 
1.2%
22263
2.4%
33159
3.3%
44331
4.5%
ValueCountFrequency (%)
994
< 0.1%
674
< 0.1%
611
 
< 0.1%
584
< 0.1%
561
 
< 0.1%

EC8
Real number (ℝ≥0)

ZEROS

Distinct71
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean7.366044103
Minimum0
Maximum99
Zeros5922
Zeros (%)6.2%
Negative0
Negative (%)0.0%
Memory size745.5 KiB
2022-11-23T02:50:07.165762image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q13
median5
Q310
95-th percentile22
Maximum99
Range99
Interquartile range (IQR)7

Descriptive statistics

Standard deviation7.057123226
Coefficient of variation (CV)0.958061495
Kurtosis6.036075868
Mean7.366044103
Median Absolute Deviation (MAD)3
Skewness1.998782878
Sum702809
Variance49.80298823
MonotonicityNot monotonic
2022-11-23T02:50:07.239548image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
310822
11.3%
210012
 
10.5%
49762
 
10.2%
57797
 
8.2%
16296
 
6.6%
66235
 
6.5%
05922
 
6.2%
75157
 
5.4%
84442
 
4.7%
93805
 
4.0%
Other values (61)25162
26.4%
ValueCountFrequency (%)
05922
6.2%
16296
6.6%
210012
10.5%
310822
11.3%
49762
10.2%
ValueCountFrequency (%)
992
< 0.1%
753
< 0.1%
711
 
< 0.1%
701
 
< 0.1%
681
 
< 0.1%

SEC1
Real number (ℝ≥0)

ZEROS

Distinct83
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3.726156039
Minimum0
Maximum97
Zeros8942
Zeros (%)9.4%
Negative0
Negative (%)0.0%
Memory size745.5 KiB
2022-11-23T02:50:07.390509image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q11
median3
Q35
95-th percentile10
Maximum97
Range97
Interquartile range (IQR)4

Descriptive statistics

Standard deviation3.829338502
Coefficient of variation (CV)1.027691396
Kurtosis77.00394184
Mean3.726156039
Median Absolute Deviation (MAD)2
Skewness5.706495021
Sum355520
Variance14.66383336
MonotonicityNot monotonic
2022-11-23T02:50:07.462185image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
216777
17.6%
115710
16.5%
314333
15.0%
411418
12.0%
08942
9.4%
58501
8.9%
66088
 
6.4%
74069
 
4.3%
82670
 
2.8%
91967
 
2.1%
Other values (73)4937
 
5.2%
ValueCountFrequency (%)
08942
9.4%
115710
16.5%
216777
17.6%
314333
15.0%
411418
12.0%
ValueCountFrequency (%)
971
< 0.1%
931
< 0.1%
922
< 0.1%
891
< 0.1%
881
< 0.1%

SEC2
Real number (ℝ≥0)

ZEROS

Distinct97
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean22.09264034
Minimum0
Maximum99
Zeros1087
Zeros (%)1.1%
Negative0
Negative (%)0.0%
Memory size745.5 KiB
2022-11-23T02:50:07.535570image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile9
Q118
median22
Q326
95-th percentile33
Maximum99
Range99
Interquartile range (IQR)8

Descriptive statistics

Standard deviation7.745973561
Coefficient of variation (CV)0.3506133012
Kurtosis5.300706305
Mean22.09264034
Median Absolute Deviation (MAD)4
Skewness0.4255735841
Sum2107903
Variance60.0001064
MonotonicityNot monotonic
2022-11-23T02:50:07.607795image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
236389
 
6.7%
226349
 
6.7%
246289
 
6.6%
256046
 
6.3%
215815
 
6.1%
265382
 
5.6%
205050
 
5.3%
274659
 
4.9%
194640
 
4.9%
183927
 
4.1%
Other values (87)40866
42.8%
ValueCountFrequency (%)
01087
1.1%
1188
 
0.2%
2244
 
0.3%
3269
 
0.3%
4363
 
0.4%
ValueCountFrequency (%)
993
< 0.1%
981
 
< 0.1%
972
< 0.1%
962
< 0.1%
953
< 0.1%

SEC3
Real number (ℝ≥0)

ZEROS

Distinct19
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1.883704356
Minimum0
Maximum30
Zeros13144
Zeros (%)13.8%
Negative0
Negative (%)0.0%
Memory size745.5 KiB
2022-11-23T02:50:07.670138image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q11
median2
Q33
95-th percentile4
Maximum30
Range30
Interquartile range (IQR)2

Descriptive statistics

Standard deviation1.362423099
Coefficient of variation (CV)0.7232680093
Kurtosis4.984792573
Mean1.883704356
Median Absolute Deviation (MAD)1
Skewness1.150198659
Sum179728
Variance1.856196702
MonotonicityNot monotonic
2022-11-23T02:50:07.720670image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram with fixed size bins (bins=19)
ValueCountFrequency (%)
228966
30.4%
127467
28.8%
315327
16.1%
013144
13.8%
46546
 
6.9%
52641
 
2.8%
6773
 
0.8%
7313
 
0.3%
8131
 
0.1%
953
 
0.1%
Other values (9)51
 
0.1%
ValueCountFrequency (%)
013144
13.8%
127467
28.8%
228966
30.4%
315327
16.1%
46546
 
6.9%
ValueCountFrequency (%)
301
< 0.1%
221
< 0.1%
191
< 0.1%
171
< 0.1%
142
< 0.1%

SEC4
Real number (ℝ≥0)

ZEROS

Distinct54
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean17.13019327
Minimum0
Maximum72
Zeros1623
Zeros (%)1.7%
Negative0
Negative (%)0.0%
Memory size745.5 KiB
2022-11-23T02:50:07.785551image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile5
Q113
median18
Q321
95-th percentile27
Maximum72
Range72
Interquartile range (IQR)8

Descriptive statistics

Standard deviation6.372528533
Coefficient of variation (CV)0.3720056414
Kurtosis0.7401881573
Mean17.13019327
Median Absolute Deviation (MAD)4
Skewness-0.3029003571
Sum1634426
Variance40.6091199
MonotonicityNot monotonic
2022-11-23T02:50:07.856404image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
197323
 
7.7%
187161
 
7.5%
207083
 
7.4%
176326
 
6.6%
216181
 
6.5%
165782
 
6.1%
225396
 
5.7%
155070
 
5.3%
144333
 
4.5%
234147
 
4.3%
Other values (44)36610
38.4%
ValueCountFrequency (%)
01623
1.7%
1432
 
0.5%
2546
 
0.6%
3728
0.8%
4780
0.8%
ValueCountFrequency (%)
723
< 0.1%
621
 
< 0.1%
601
 
< 0.1%
531
 
< 0.1%
514
< 0.1%

SEC5
Real number (ℝ≥0)

ZEROS

Distinct97
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean6.808755712
Minimum0
Maximum99
Zeros1889
Zeros (%)2.0%
Negative0
Negative (%)0.0%
Memory size745.5 KiB
2022-11-23T02:50:07.933170image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile2
Q14
median6
Q38
95-th percentile14
Maximum99
Range99
Interquartile range (IQR)4

Descriptive statistics

Standard deviation5.66821284
Coefficient of variation (CV)0.8324887952
Kurtosis57.47150269
Mean6.808755712
Median Absolute Deviation (MAD)2
Skewness5.697104609
Sum649637
Variance32.1286368
MonotonicityNot monotonic
2022-11-23T02:50:08.004449image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
512026
12.6%
411946
12.5%
610967
11.5%
39960
10.4%
79816
10.3%
88083
8.5%
96282
6.6%
25598
5.9%
104484
 
4.7%
113203
 
3.4%
Other values (87)13047
13.7%
ValueCountFrequency (%)
01889
 
2.0%
12226
 
2.3%
25598
5.9%
39960
10.4%
411946
12.5%
ValueCountFrequency (%)
998
< 0.1%
982
 
< 0.1%
975
< 0.1%
961
 
< 0.1%
951
 
< 0.1%

AFC1
Real number (ℝ≥0)

ZEROS

Distinct81
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.5965811428
Minimum0
Maximum97
Zeros78106
Zeros (%)81.9%
Negative0
Negative (%)0.0%
Memory size745.5 KiB
2022-11-23T02:50:08.077204image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile2
Maximum97
Range97
Interquartile range (IQR)0

Descriptive statistics

Standard deviation3.169440205
Coefficient of variation (CV)5.312672456
Kurtosis274.5994972
Mean0.5965811428
Median Absolute Deviation (MAD)0
Skewness14.35797814
Sum56921
Variance10.04535121
MonotonicityNot monotonic
2022-11-23T02:50:08.147794image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
078106
81.9%
110104
 
10.6%
22635
 
2.8%
31199
 
1.3%
4702
 
0.7%
5500
 
0.5%
6318
 
0.3%
7312
 
0.3%
8227
 
0.2%
9179
 
0.2%
Other values (71)1130
 
1.2%
ValueCountFrequency (%)
078106
81.9%
110104
 
10.6%
22635
 
2.8%
31199
 
1.3%
4702
 
0.7%
ValueCountFrequency (%)
971
< 0.1%
912
< 0.1%
861
< 0.1%
842
< 0.1%
832
< 0.1%

AFC2
Real number (ℝ≥0)

ZEROS

Distinct96
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1.061554102
Minimum0
Maximum99
Zeros73368
Zeros (%)76.9%
Negative0
Negative (%)0.0%
Memory size745.5 KiB
2022-11-23T02:50:08.219581image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile4
Maximum99
Range99
Interquartile range (IQR)0

Descriptive statistics

Standard deviation4.903343554
Coefficient of variation (CV)4.619023697
Kurtosis165.41064
Mean1.061554102
Median Absolute Deviation (MAD)0
Skewness11.26849914
Sum101285
Variance24.04277801
MonotonicityNot monotonic
2022-11-23T02:50:08.292841image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
073368
76.9%
19538
 
10.0%
24457
 
4.7%
32140
 
2.2%
41169
 
1.2%
5840
 
0.9%
6570
 
0.6%
7402
 
0.4%
8377
 
0.4%
9264
 
0.3%
Other values (86)2287
 
2.4%
ValueCountFrequency (%)
073368
76.9%
19538
 
10.0%
24457
 
4.7%
32140
 
2.2%
41169
 
1.2%
ValueCountFrequency (%)
991
 
< 0.1%
981
 
< 0.1%
974
< 0.1%
963
< 0.1%
953
< 0.1%

AFC3
Real number (ℝ≥0)

SKEWED
ZEROS

Distinct36
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.1456630193
Minimum0
Maximum78
Zeros89749
Zeros (%)94.1%
Negative0
Negative (%)0.0%
Memory size745.5 KiB
2022-11-23T02:50:08.363126image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile1
Maximum78
Range78
Interquartile range (IQR)0

Descriptive statistics

Standard deviation1.066101821
Coefficient of variation (CV)7.318960062
Kurtosis1293.062816
Mean0.1456630193
Median Absolute Deviation (MAD)0
Skewness26.24751506
Sum13898
Variance1.136573093
MonotonicityNot monotonic
2022-11-23T02:50:08.500821image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram with fixed size bins (bins=36)
ValueCountFrequency (%)
089749
94.1%
13026
 
3.2%
21266
 
1.3%
3520
 
0.5%
4260
 
0.3%
5158
 
0.2%
6106
 
0.1%
858
 
0.1%
752
 
0.1%
932
 
< 0.1%
Other values (26)185
 
0.2%
ValueCountFrequency (%)
089749
94.1%
13026
 
3.2%
21266
 
1.3%
3520
 
0.5%
4260
 
0.3%
ValueCountFrequency (%)
782
< 0.1%
771
< 0.1%
591
< 0.1%
541
< 0.1%
481
< 0.1%

AFC4
Real number (ℝ≥0)

ZEROS

Distinct57
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean15.57427787
Minimum0
Maximum99
Zeros962
Zeros (%)1.0%
Negative0
Negative (%)0.0%
Memory size745.5 KiB
2022-11-23T02:50:08.573113image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile7
Q112
median15
Q319
95-th percentile24
Maximum99
Range99
Interquartile range (IQR)7

Descriptive statistics

Standard deviation5.27047573
Coefficient of variation (CV)0.3384089956
Kurtosis2.487273059
Mean15.57427787
Median Absolute Deviation (MAD)3
Skewness0.3230725303
Sum1485973
Variance27.77791442
MonotonicityNot monotonic
2022-11-23T02:50:08.645476image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
158841
 
9.3%
148390
 
8.8%
168378
 
8.8%
177455
 
7.8%
137360
 
7.7%
186424
 
6.7%
126215
 
6.5%
195364
 
5.6%
114867
 
5.1%
204489
 
4.7%
Other values (47)27629
29.0%
ValueCountFrequency (%)
0962
1.0%
178
 
0.1%
2192
 
0.2%
3295
 
0.3%
4449
0.5%
ValueCountFrequency (%)
991
< 0.1%
711
< 0.1%
641
< 0.1%
631
< 0.1%
551
< 0.1%

AFC5
Real number (ℝ≥0)

ZEROS

Distinct88
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean31.26999748
Minimum0
Maximum99
Zeros965
Zeros (%)1.0%
Negative0
Negative (%)0.0%
Memory size745.5 KiB
2022-11-23T02:50:08.719478image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile15
Q125
median31
Q337
95-th percentile49
Maximum99
Range99
Interquartile range (IQR)12

Descriptive statistics

Standard deviation10.47574139
Coefficient of variation (CV)0.3350093455
Kurtosis1.423220471
Mean31.26999748
Median Absolute Deviation (MAD)6
Skewness0.1830598169
Sum2983533
Variance109.7411577
MonotonicityNot monotonic
2022-11-23T02:50:08.790176image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
304513
 
4.7%
314463
 
4.7%
324305
 
4.5%
334227
 
4.4%
294176
 
4.4%
284093
 
4.3%
273908
 
4.1%
343873
 
4.1%
353751
 
3.9%
263632
 
3.8%
Other values (78)54471
57.1%
ValueCountFrequency (%)
0965
1.0%
119
 
< 0.1%
244
 
< 0.1%
370
 
0.1%
4124
 
0.1%
ValueCountFrequency (%)
9910
< 0.1%
901
 
< 0.1%
856
< 0.1%
844
 
< 0.1%
833
 
< 0.1%

AFC6
Real number (ℝ≥0)

ZEROS

Distinct27
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1.280216325
Minimum0
Maximum30
Zeros38104
Zeros (%)39.9%
Negative0
Negative (%)0.0%
Memory size745.5 KiB
2022-11-23T02:50:08.853696image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median1
Q32
95-th percentile4
Maximum30
Range30
Interquartile range (IQR)2

Descriptive statistics

Standard deviation1.640392065
Coefficient of variation (CV)1.28133975
Kurtosis14.38301933
Mean1.280216325
Median Absolute Deviation (MAD)1
Skewness2.634951385
Sum122148
Variance2.690886128
MonotonicityNot monotonic
2022-11-23T02:50:08.910162image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram with fixed size bins (bins=27)
ValueCountFrequency (%)
038104
39.9%
125971
27.2%
216005
16.8%
37586
 
8.0%
43622
 
3.8%
51824
 
1.9%
6895
 
0.9%
7499
 
0.5%
8327
 
0.3%
9219
 
0.2%
Other values (17)360
 
0.4%
ValueCountFrequency (%)
038104
39.9%
125971
27.2%
216005
16.8%
37586
 
8.0%
43622
 
3.8%
ValueCountFrequency (%)
302
< 0.1%
271
 
< 0.1%
251
 
< 0.1%
232
< 0.1%
224
< 0.1%

VC1
Real number (ℝ≥0)

ZEROS

Distinct95
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean30.58388882
Minimum0
Maximum99
Zeros3150
Zeros (%)3.3%
Negative0
Negative (%)0.0%
Memory size745.5 KiB
2022-11-23T02:50:08.979512image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile7
Q121
median30
Q339
95-th percentile55
Maximum99
Range99
Interquartile range (IQR)18

Descriptive statistics

Standard deviation14.49410083
Coefficient of variation (CV)0.4739129454
Kurtosis0.707550496
Mean30.58388882
Median Absolute Deviation (MAD)9
Skewness0.3659024969
Sum2918070
Variance210.078959
MonotonicityNot monotonic
2022-11-23T02:50:09.051708image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
03150
 
3.3%
273103
 
3.3%
283065
 
3.2%
322994
 
3.1%
292978
 
3.1%
312966
 
3.1%
302954
 
3.1%
262834
 
3.0%
252724
 
2.9%
332719
 
2.8%
Other values (85)65925
69.1%
ValueCountFrequency (%)
03150
3.3%
114
 
< 0.1%
264
 
0.1%
3133
 
0.1%
4259
 
0.3%
ValueCountFrequency (%)
99109
0.1%
932
 
< 0.1%
921
 
< 0.1%
911
 
< 0.1%
906
 
< 0.1%

VC2
Real number (ℝ≥0)

ZEROS

Distinct89
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean17.92179181
Minimum0
Maximum99
Zeros6030
Zeros (%)6.3%
Negative0
Negative (%)0.0%
Memory size745.5 KiB
2022-11-23T02:50:09.125444image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q112
median17
Q323
95-th percentile34
Maximum99
Range99
Interquartile range (IQR)11

Descriptive statistics

Standard deviation9.729101777
Coefficient of variation (CV)0.5428643453
Kurtosis3.851331354
Mean17.92179181
Median Absolute Deviation (MAD)5
Skewness0.8774613369
Sum1709954
Variance94.65542139
MonotonicityNot monotonic
2022-11-23T02:50:09.196754image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
06030
 
6.3%
175101
 
5.3%
185011
 
5.3%
164995
 
5.2%
194855
 
5.1%
154630
 
4.9%
204505
 
4.7%
144218
 
4.4%
214132
 
4.3%
133821
 
4.0%
Other values (79)48114
50.4%
ValueCountFrequency (%)
06030
6.3%
132
 
< 0.1%
2105
 
0.1%
3379
 
0.4%
4807
 
0.8%
ValueCountFrequency (%)
9941
< 0.1%
882
 
< 0.1%
861
 
< 0.1%
851
 
< 0.1%
841
 
< 0.1%

VC3
Real number (ℝ≥0)

ZEROS

Distinct100
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean33.37561313
Minimum0
Maximum99
Zeros2912
Zeros (%)3.1%
Negative0
Negative (%)0.0%
Memory size745.5 KiB
2022-11-23T02:50:09.269310image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile7
Q122
median32
Q343
95-th percentile64
Maximum99
Range99
Interquartile range (IQR)21

Descriptive statistics

Standard deviation17.05201633
Coefficient of variation (CV)0.5109124517
Kurtosis0.5767674466
Mean33.37561313
Median Absolute Deviation (MAD)11
Skewness0.5154004847
Sum3184434
Variance290.7712609
MonotonicityNot monotonic
2022-11-23T02:50:09.340864image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
02912
 
3.1%
322572
 
2.7%
332467
 
2.6%
282452
 
2.6%
362442
 
2.6%
312432
 
2.5%
352405
 
2.5%
292383
 
2.5%
342378
 
2.5%
302338
 
2.5%
Other values (90)70631
74.0%
ValueCountFrequency (%)
02912
3.1%
133
 
< 0.1%
287
 
0.1%
3176
 
0.2%
4311
 
0.3%
ValueCountFrequency (%)
99193
0.2%
986
 
< 0.1%
975
 
< 0.1%
9627
 
< 0.1%
957
 
< 0.1%

VC4
Real number (ℝ≥0)

ZEROS

Distinct97
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean11.31413239
Minimum0
Maximum99
Zeros16207
Zeros (%)17.0%
Negative0
Negative (%)0.0%
Memory size745.5 KiB
2022-11-23T02:50:09.414325image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q14
median9
Q316
95-th percentile31
Maximum99
Range99
Interquartile range (IQR)12

Descriptive statistics

Standard deviation10.71399589
Coefficient of variation (CV)0.9469569134
Kurtosis8.226432652
Mean11.31413239
Median Absolute Deviation (MAD)6
Skewness2.068832797
Sum1079504
Variance114.7897079
MonotonicityNot monotonic
2022-11-23T02:50:09.487572image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
016207
17.0%
85094
 
5.3%
74786
 
5.0%
94663
 
4.9%
64663
 
4.9%
104480
 
4.7%
54329
 
4.5%
114030
 
4.2%
133910
 
4.1%
123806
 
4.0%
Other values (87)39444
41.3%
ValueCountFrequency (%)
016207
17.0%
1691
 
0.7%
21854
 
1.9%
33043
 
3.2%
43722
 
3.9%
ValueCountFrequency (%)
9963
0.1%
961
 
< 0.1%
942
 
< 0.1%
932
 
< 0.1%
925
 
< 0.1%

ANC1
Real number (ℝ≥0)

ZEROS

Distinct68
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.7195740578
Minimum0
Maximum83
Zeros56027
Zeros (%)58.7%
Negative0
Negative (%)0.0%
Memory size745.5 KiB
2022-11-23T02:50:09.638083image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q31
95-th percentile2
Maximum83
Range83
Interquartile range (IQR)1

Descriptive statistics

Standard deviation2.294499419
Coefficient of variation (CV)3.188691135
Kurtosis316.2911624
Mean0.7195740578
Median Absolute Deviation (MAD)0
Skewness15.0792225
Sum68656
Variance5.264727584
MonotonicityNot monotonic
2022-11-23T02:50:09.707707image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
056027
58.7%
129511
30.9%
25921
 
6.2%
31747
 
1.8%
4717
 
0.8%
5399
 
0.4%
6200
 
0.2%
7106
 
0.1%
999
 
0.1%
888
 
0.1%
Other values (58)597
 
0.6%
ValueCountFrequency (%)
056027
58.7%
129511
30.9%
25921
 
6.2%
31747
 
1.8%
4717
 
0.8%
ValueCountFrequency (%)
831
 
< 0.1%
714
< 0.1%
702
< 0.1%
681
 
< 0.1%
673
< 0.1%

ANC2
Real number (ℝ≥0)

ZEROS

Distinct54
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean5.471565422
Minimum0
Maximum99
Zeros7156
Zeros (%)7.5%
Negative0
Negative (%)0.0%
Memory size745.5 KiB
2022-11-23T02:50:09.781294image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q12
median5
Q38
95-th percentile13
Maximum99
Range99
Interquartile range (IQR)6

Descriptive statistics

Standard deviation4.268972195
Coefficient of variation (CV)0.7802103907
Kurtosis11.74392645
Mean5.471565422
Median Absolute Deviation (MAD)3
Skewness1.925950752
Sum522053
Variance18.2241236
MonotonicityNot monotonic
2022-11-23T02:50:09.854541image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
410518
11.0%
510300
10.8%
39981
10.5%
29071
9.5%
69003
9.4%
17888
8.3%
77488
7.8%
07156
7.5%
86109
6.4%
94646
 
4.9%
Other values (44)13252
13.9%
ValueCountFrequency (%)
07156
7.5%
17888
8.3%
29071
9.5%
39981
10.5%
410518
11.0%
ValueCountFrequency (%)
992
< 0.1%
612
< 0.1%
571
< 0.1%
511
< 0.1%
502
< 0.1%

ANC3
Real number (ℝ≥0)

ZEROS

Distinct31
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.8659497757
Minimum0
Maximum31
Zeros43506
Zeros (%)45.6%
Negative0
Negative (%)0.0%
Memory size745.5 KiB
2022-11-23T02:50:09.922104image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median1
Q31
95-th percentile3
Maximum31
Range31
Interquartile range (IQR)1

Descriptive statistics

Standard deviation1.360590629
Coefficient of variation (CV)1.571211942
Kurtosis53.29948158
Mean0.8659497757
Median Absolute Deviation (MAD)1
Skewness5.316383453
Sum82622
Variance1.851206859
MonotonicityNot monotonic
2022-11-23T02:50:09.979459image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram with fixed size bins (bins=31)
ValueCountFrequency (%)
043506
45.6%
136460
38.2%
29738
 
10.2%
32840
 
3.0%
41106
 
1.2%
5534
 
0.6%
6310
 
0.3%
7230
 
0.2%
8177
 
0.2%
9147
 
0.2%
Other values (21)364
 
0.4%
ValueCountFrequency (%)
043506
45.6%
136460
38.2%
29738
 
10.2%
32840
 
3.0%
41106
 
1.2%
ValueCountFrequency (%)
311
< 0.1%
301
< 0.1%
291
< 0.1%
271
< 0.1%
261
< 0.1%

ANC4
Real number (ℝ≥0)

ZEROS

Distinct82
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean10.16994718
Minimum0
Maximum92
Zeros3969
Zeros (%)4.2%
Negative0
Negative (%)0.0%
Memory size745.5 KiB
2022-11-23T02:50:10.047332image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile1
Q15
median8
Q313
95-th percentile26
Maximum92
Range92
Interquartile range (IQR)8

Descriptive statistics

Standard deviation8.273017212
Coefficient of variation (CV)0.8134769108
Kurtosis7.970032705
Mean10.16994718
Median Absolute Deviation (MAD)4
Skewness2.217877173
Sum970335
Variance68.44281379
MonotonicityNot monotonic
2022-11-23T02:50:10.117853image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
77390
 
7.7%
87267
 
7.6%
67010
 
7.3%
56455
 
6.8%
96373
 
6.7%
106041
 
6.3%
45552
 
5.8%
115009
 
5.2%
34669
 
4.9%
124164
 
4.4%
Other values (72)35482
37.2%
ValueCountFrequency (%)
03969
4.2%
12730
2.9%
23577
3.7%
34669
4.9%
45552
5.8%
ValueCountFrequency (%)
921
 
< 0.1%
831
 
< 0.1%
804
< 0.1%
784
< 0.1%
771
 
< 0.1%

ANC5
Real number (ℝ≥0)

ZEROS

Distinct26
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.1906363979
Minimum0
Maximum47
Zeros83321
Zeros (%)87.3%
Negative0
Negative (%)0.0%
Memory size745.5 KiB
2022-11-23T02:50:10.180943image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile1
Maximum47
Range47
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.7075069788
Coefficient of variation (CV)3.711290113
Kurtosis418.1678104
Mean0.1906363979
Median Absolute Deviation (MAD)0
Skewness12.51637628
Sum18189
Variance0.5005661251
MonotonicityNot monotonic
2022-11-23T02:50:10.236080image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram with fixed size bins (bins=26)
ValueCountFrequency (%)
083321
87.3%
19065
 
9.5%
21779
 
1.9%
3586
 
0.6%
4284
 
0.3%
5167
 
0.2%
761
 
0.1%
661
 
0.1%
830
 
< 0.1%
1018
 
< 0.1%
Other values (16)40
 
< 0.1%
ValueCountFrequency (%)
083321
87.3%
19065
 
9.5%
21779
 
1.9%
3586
 
0.6%
4284
 
0.3%
ValueCountFrequency (%)
471
< 0.1%
341
< 0.1%
321
< 0.1%
251
< 0.1%
241
< 0.1%

ANC6
Real number (ℝ≥0)

ZEROS

Distinct14
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.1775458014
Minimum0
Maximum14
Zeros82367
Zeros (%)86.3%
Negative0
Negative (%)0.0%
Memory size745.5 KiB
2022-11-23T02:50:10.287502image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile1
Maximum14
Range14
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.5330900397
Coefficient of variation (CV)3.002549402
Kurtosis50.44043432
Mean0.1775458014
Median Absolute Deviation (MAD)0
Skewness5.210969891
Sum16940
Variance0.2841849905
MonotonicityNot monotonic
2022-11-23T02:50:10.337230image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram with fixed size bins (bins=14)
ValueCountFrequency (%)
082367
86.3%
110522
 
11.0%
21771
 
1.9%
3441
 
0.5%
4173
 
0.2%
562
 
0.1%
635
 
< 0.1%
719
 
< 0.1%
89
 
< 0.1%
95
 
< 0.1%
Other values (4)8
 
< 0.1%
ValueCountFrequency (%)
082367
86.3%
110522
 
11.0%
21771
 
1.9%
3441
 
0.5%
4173
 
0.2%
ValueCountFrequency (%)
142
 
< 0.1%
121
 
< 0.1%
111
 
< 0.1%
104
< 0.1%
95
< 0.1%

ANC7
Real number (ℝ≥0)

ZEROS

Distinct43
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean4.850500985
Minimum0
Maximum99
Zeros5819
Zeros (%)6.1%
Negative0
Negative (%)0.0%
Memory size745.5 KiB
2022-11-23T02:50:10.406403image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q13
median4
Q37
95-th percentile11
Maximum99
Range99
Interquartile range (IQR)4

Descriptive statistics

Standard deviation3.321778983
Coefficient of variation (CV)0.6848321428
Kurtosis12.04782744
Mean4.850500985
Median Absolute Deviation (MAD)2
Skewness1.598208733
Sum462796
Variance11.03421562
MonotonicityNot monotonic
2022-11-23T02:50:10.477291image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram with fixed size bins (bins=43)
ValueCountFrequency (%)
413140
13.8%
312746
13.4%
512312
12.9%
210110
10.6%
69905
10.4%
77499
7.9%
17094
7.4%
05819
6.1%
85345
5.6%
93654
 
3.8%
Other values (33)7788
8.2%
ValueCountFrequency (%)
05819
6.1%
17094
7.4%
210110
10.6%
312746
13.4%
413140
13.8%
ValueCountFrequency (%)
991
< 0.1%
492
< 0.1%
481
< 0.1%
451
< 0.1%
441
< 0.1%

ANC8
Real number (ℝ≥0)

ZEROS

Distinct42
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1.807256949
Minimum0
Maximum55
Zeros32602
Zeros (%)34.2%
Negative0
Negative (%)0.0%
Memory size745.5 KiB
2022-11-23T02:50:10.547341image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median1
Q32
95-th percentile6
Maximum55
Range55
Interquartile range (IQR)2

Descriptive statistics

Standard deviation2.503595962
Coefficient of variation (CV)1.38530161
Kurtosis24.81463479
Mean1.807256949
Median Absolute Deviation (MAD)1
Skewness3.527808792
Sum172434
Variance6.26799274
MonotonicityNot monotonic
2022-11-23T02:50:10.612956image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram with fixed size bins (bins=42)
ValueCountFrequency (%)
032602
34.2%
125422
26.6%
213871
14.5%
38545
 
9.0%
45178
 
5.4%
53323
 
3.5%
61979
 
2.1%
71294
 
1.4%
8908
 
1.0%
9636
 
0.7%
Other values (32)1654
 
1.7%
ValueCountFrequency (%)
032602
34.2%
125422
26.6%
213871
14.5%
38545
 
9.0%
45178
 
5.4%
ValueCountFrequency (%)
551
< 0.1%
452
< 0.1%
431
< 0.1%
402
< 0.1%
391
< 0.1%

ANC9
Real number (ℝ≥0)

ZEROS

Distinct52
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.7759925376
Minimum0
Maximum68
Zeros63082
Zeros (%)66.1%
Negative0
Negative (%)0.0%
Memory size745.5 KiB
2022-11-23T02:50:10.770298image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q31
95-th percentile4
Maximum68
Range68
Interquartile range (IQR)1

Descriptive statistics

Standard deviation2.139899774
Coefficient of variation (CV)2.757629321
Kurtosis131.8002079
Mean0.7759925376
Median Absolute Deviation (MAD)0
Skewness8.850138906
Sum74039
Variance4.579171044
MonotonicityNot monotonic
2022-11-23T02:50:10.846961image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
063082
66.1%
119244
 
20.2%
25660
 
5.9%
32630
 
2.8%
41510
 
1.6%
5959
 
1.0%
6590
 
0.6%
7403
 
0.4%
8320
 
0.3%
9199
 
0.2%
Other values (42)815
 
0.9%
ValueCountFrequency (%)
063082
66.1%
119244
 
20.2%
25660
 
5.9%
32630
 
2.8%
41510
 
1.6%
ValueCountFrequency (%)
681
< 0.1%
571
< 0.1%
552
< 0.1%
542
< 0.1%
521
< 0.1%

ANC10
Real number (ℝ≥0)

ZEROS

Distinct60
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1.333239006
Minimum0
Maximum99
Zeros46980
Zeros (%)49.2%
Negative0
Negative (%)0.0%
Memory size745.5 KiB
2022-11-23T02:50:10.929387image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median1
Q31
95-th percentile5
Maximum99
Range99
Interquartile range (IQR)1

Descriptive statistics

Standard deviation2.882133011
Coefficient of variation (CV)2.161752693
Kurtosis88.13151556
Mean1.333239006
Median Absolute Deviation (MAD)1
Skewness6.930420332
Sum127207
Variance8.306690694
MonotonicityNot monotonic
2022-11-23T02:50:11.002360image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
046980
49.2%
125546
26.8%
29615
 
10.1%
34356
 
4.6%
42581
 
2.7%
51579
 
1.7%
61117
 
1.2%
7741
 
0.8%
8556
 
0.6%
9462
 
0.5%
Other values (50)1879
 
2.0%
ValueCountFrequency (%)
046980
49.2%
125546
26.8%
29615
 
10.1%
34356
 
4.6%
42581
 
2.7%
ValueCountFrequency (%)
991
 
< 0.1%
741
 
< 0.1%
712
< 0.1%
653
< 0.1%
631
 
< 0.1%

ANC11
Real number (ℝ≥0)

ZEROS

Distinct33
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.1679138892
Minimum0
Maximum43
Zeros86841
Zeros (%)91.0%
Negative0
Negative (%)0.0%
Memory size745.5 KiB
2022-11-23T02:50:11.071705image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile1
Maximum43
Range43
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.8663436476
Coefficient of variation (CV)5.159451976
Kurtosis423.4779359
Mean0.1679138892
Median Absolute Deviation (MAD)0
Skewness15.33723242
Sum16021
Variance0.7505513157
MonotonicityNot monotonic
2022-11-23T02:50:11.130013image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram with fixed size bins (bins=33)
ValueCountFrequency (%)
086841
91.0%
15760
 
6.0%
21394
 
1.5%
3584
 
0.6%
4283
 
0.3%
5152
 
0.2%
6128
 
0.1%
866
 
0.1%
758
 
0.1%
932
 
< 0.1%
Other values (23)114
 
0.1%
ValueCountFrequency (%)
086841
91.0%
15760
 
6.0%
21394
 
1.5%
3584
 
0.6%
4283
 
0.3%
ValueCountFrequency (%)
431
 
< 0.1%
411
 
< 0.1%
381
 
< 0.1%
353
< 0.1%
312
< 0.1%

ANC12
Real number (ℝ≥0)

ZEROS

Distinct30
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.3962499476
Minimum0
Maximum52
Zeros78328
Zeros (%)82.1%
Negative0
Negative (%)0.0%
Memory size745.5 KiB
2022-11-23T02:50:11.188769image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile2
Maximum52
Range52
Interquartile range (IQR)0

Descriptive statistics

Standard deviation1.426360099
Coefficient of variation (CV)3.599647413
Kurtosis97.80670608
Mean0.3962499476
Median Absolute Deviation (MAD)0
Skewness7.855892173
Sum37807
Variance2.034503131
MonotonicityNot monotonic
2022-11-23T02:50:11.249300image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram with fixed size bins (bins=30)
ValueCountFrequency (%)
078328
82.1%
110777
 
11.3%
22706
 
2.8%
31163
 
1.2%
4626
 
0.7%
5437
 
0.5%
6291
 
0.3%
7250
 
0.3%
8156
 
0.2%
9131
 
0.1%
Other values (20)547
 
0.6%
ValueCountFrequency (%)
078328
82.1%
110777
 
11.3%
22706
 
2.8%
31163
 
1.2%
4626
 
0.7%
ValueCountFrequency (%)
521
 
< 0.1%
451
 
< 0.1%
304
< 0.1%
261
 
< 0.1%
251
 
< 0.1%

ANC13
Real number (ℝ≥0)

ZEROS

Distinct19
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.7267010439
Minimum0
Maximum50
Zeros47175
Zeros (%)49.4%
Negative0
Negative (%)0.0%
Memory size745.5 KiB
2022-11-23T02:50:11.305103image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median1
Q31
95-th percentile2
Maximum50
Range50
Interquartile range (IQR)1

Descriptive statistics

Standard deviation0.9773801697
Coefficient of variation (CV)1.344954955
Kurtosis85.14669981
Mean0.7267010439
Median Absolute Deviation (MAD)1
Skewness3.941110793
Sum69336
Variance0.9552719961
MonotonicityNot monotonic
2022-11-23T02:50:11.359390image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram with fixed size bins (bins=19)
ValueCountFrequency (%)
047175
49.4%
134458
36.1%
29456
 
9.9%
32793
 
2.9%
4885
 
0.9%
5326
 
0.3%
6153
 
0.2%
770
 
0.1%
834
 
< 0.1%
920
 
< 0.1%
Other values (9)42
 
< 0.1%
ValueCountFrequency (%)
047175
49.4%
134458
36.1%
29456
 
9.9%
32793
 
2.9%
4885
 
0.9%
ValueCountFrequency (%)
501
 
< 0.1%
191
 
< 0.1%
181
 
< 0.1%
175
< 0.1%
162
 
< 0.1%

ANC14
Real number (ℝ≥0)

ZEROS

Distinct26
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.7265333501
Minimum0
Maximum27
Zeros54380
Zeros (%)57.0%
Negative0
Negative (%)0.0%
Memory size745.5 KiB
2022-11-23T02:50:11.414734image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q31
95-th percentile3
Maximum27
Range27
Interquartile range (IQR)1

Descriptive statistics

Standard deviation1.263605804
Coefficient of variation (CV)1.739226153
Kurtosis37.61126632
Mean0.7265333501
Median Absolute Deviation (MAD)0
Skewness4.357869474
Sum69320
Variance1.596699628
MonotonicityNot monotonic
2022-11-23T02:50:11.475332image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram with fixed size bins (bins=26)
ValueCountFrequency (%)
054380
57.0%
126809
28.1%
28053
 
8.4%
33131
 
3.3%
41364
 
1.4%
5705
 
0.7%
6326
 
0.3%
7228
 
0.2%
8137
 
0.1%
980
 
0.1%
Other values (16)199
 
0.2%
ValueCountFrequency (%)
054380
57.0%
126809
28.1%
28053
 
8.4%
33131
 
3.3%
41364
 
1.4%
ValueCountFrequency (%)
272
< 0.1%
251
 
< 0.1%
233
< 0.1%
221
 
< 0.1%
211
 
< 0.1%

ANC15
Real number (ℝ≥0)

ZEROS

Distinct17
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.07822915357
Minimum0
Maximum32
Zeros89549
Zeros (%)93.9%
Negative0
Negative (%)0.0%
Memory size745.5 KiB
2022-11-23T02:50:11.533315image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile1
Maximum32
Range32
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.3881153818
Coefficient of variation (CV)4.961262702
Kurtosis727.0295561
Mean0.07822915357
Median Absolute Deviation (MAD)0
Skewness15.94813962
Sum7464
Variance0.1506335496
MonotonicityNot monotonic
2022-11-23T02:50:11.583164image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram with fixed size bins (bins=17)
ValueCountFrequency (%)
089549
93.9%
14903
 
5.1%
2671
 
0.7%
3170
 
0.2%
454
 
0.1%
525
 
< 0.1%
615
 
< 0.1%
77
 
< 0.1%
84
 
< 0.1%
124
 
< 0.1%
Other values (7)10
 
< 0.1%
ValueCountFrequency (%)
089549
93.9%
14903
 
5.1%
2671
 
0.7%
3170
 
0.2%
454
 
0.1%
ValueCountFrequency (%)
321
< 0.1%
201
< 0.1%
161
< 0.1%
141
< 0.1%
132
< 0.1%

POBC1
Real number (ℝ≥0)

ZEROS

Distinct88
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean6.62500524
Minimum0
Maximum99
Zeros16115
Zeros (%)16.9%
Negative0
Negative (%)0.0%
Memory size745.5 KiB
2022-11-23T02:50:11.651344image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q11
median3
Q38
95-th percentile26
Maximum99
Range99
Interquartile range (IQR)7

Descriptive statistics

Standard deviation9.646192003
Coefficient of variation (CV)1.45602783
Kurtosis11.4464553
Mean6.62500524
Median Absolute Deviation (MAD)3
Skewness2.971260051
Sum632105
Variance93.04902016
MonotonicityNot monotonic
2022-11-23T02:50:11.724126image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
016115
16.9%
115847
16.6%
210241
10.7%
38171
8.6%
46320
 
6.6%
55137
 
5.4%
64461
 
4.7%
73616
 
3.8%
82964
 
3.1%
92549
 
2.7%
Other values (78)19991
21.0%
ValueCountFrequency (%)
016115
16.9%
115847
16.6%
210241
10.7%
38171
8.6%
46320
 
6.6%
ValueCountFrequency (%)
991
 
< 0.1%
902
 
< 0.1%
864
< 0.1%
852
 
< 0.1%
846
< 0.1%

POBC2
Real number (ℝ≥0)

ZEROS

Distinct100
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean57.03259548
Minimum0
Maximum99
Zeros1038
Zeros (%)1.1%
Negative0
Negative (%)0.0%
Memory size745.5 KiB
2022-11-23T02:50:11.798153image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile17
Q142
median59
Q375
95-th percentile87
Maximum99
Range99
Interquartile range (IQR)33

Descriptive statistics

Standard deviation21.78022887
Coefficient of variation (CV)0.3818908939
Kurtosis-0.438500419
Mean57.03259548
Median Absolute Deviation (MAD)16
Skewness-0.4915141238
Sum5441594
Variance474.3783697
MonotonicityNot monotonic
2022-11-23T02:50:11.947426image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
801769
 
1.9%
791728
 
1.8%
811712
 
1.8%
821652
 
1.7%
761629
 
1.7%
571611
 
1.7%
831607
 
1.7%
751601
 
1.7%
781596
 
1.7%
841588
 
1.7%
Other values (90)78919
82.7%
ValueCountFrequency (%)
01038
1.1%
1116
 
0.1%
2120
 
0.1%
3129
 
0.1%
4112
 
0.1%
ValueCountFrequency (%)
9931
 
< 0.1%
9823
 
< 0.1%
9751
0.1%
96105
0.1%
95116
0.1%

LSC1
Real number (ℝ≥0)

Distinct100
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean87.76286002
Minimum0
Maximum99
Zeros860
Zeros (%)0.9%
Negative0
Negative (%)0.0%
Memory size745.5 KiB
2022-11-23T02:50:12.022377image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile54
Q186
median94
Q397
95-th percentile99
Maximum99
Range99
Interquartile range (IQR)11

Descriptive statistics

Standard deviation16.63008322
Coefficient of variation (CV)0.1894888477
Kurtosis10.31532674
Mean87.76286002
Median Absolute Deviation (MAD)4
Skewness-2.995109723
Sum8373630
Variance276.5596679
MonotonicityNot monotonic
2022-11-23T02:50:12.095284image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
989921
 
10.4%
979830
 
10.3%
998794
 
9.2%
967976
 
8.4%
956776
 
7.1%
945522
 
5.8%
934862
 
5.1%
924125
 
4.3%
913411
 
3.6%
902942
 
3.1%
Other values (90)31253
32.8%
ValueCountFrequency (%)
0860
0.9%
15
 
< 0.1%
213
 
< 0.1%
319
 
< 0.1%
424
 
< 0.1%
ValueCountFrequency (%)
998794
9.2%
989921
10.4%
979830
10.3%
967976
8.4%
956776
7.1%

LSC2
Real number (ℝ≥0)

ZEROS

Distinct100
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean5.985557372
Minimum0
Maximum99
Zeros19000
Zeros (%)19.9%
Negative0
Negative (%)0.0%
Memory size745.5 KiB
2022-11-23T02:50:12.169848image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q11
median2
Q35
95-th percentile27
Maximum99
Range99
Interquartile range (IQR)4

Descriptive statistics

Standard deviation12.04372995
Coefficient of variation (CV)2.012131737
Kurtosis19.63886946
Mean5.985557372
Median Absolute Deviation (MAD)2
Skewness4.079298865
Sum571094
Variance145.0514312
MonotonicityNot monotonic
2022-11-23T02:50:12.243530image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
123054
24.2%
019000
19.9%
213228
13.9%
37668
 
8.0%
45246
 
5.5%
53892
 
4.1%
62956
 
3.1%
72264
 
2.4%
81935
 
2.0%
91530
 
1.6%
Other values (90)14639
15.3%
ValueCountFrequency (%)
019000
19.9%
123054
24.2%
213228
13.9%
37668
 
8.0%
45246
 
5.5%
ValueCountFrequency (%)
999
< 0.1%
9814
< 0.1%
9711
< 0.1%
9618
< 0.1%
9513
< 0.1%

LSC3
Real number (ℝ≥0)

ZEROS

Distinct71
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1.873265417
Minimum0
Maximum99
Zeros57072
Zeros (%)59.8%
Negative0
Negative (%)0.0%
Memory size745.5 KiB
2022-11-23T02:50:12.318791image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q32
95-th percentile9
Maximum99
Range99
Interquartile range (IQR)2

Descriptive statistics

Standard deviation4.890662413
Coefficient of variation (CV)2.610768537
Kurtosis40.57758887
Mean1.873265417
Median Absolute Deviation (MAD)0
Skewness5.441939146
Sum178732
Variance23.91857884
MonotonicityNot monotonic
2022-11-23T02:50:12.392070image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
057072
59.8%
113995
 
14.7%
26994
 
7.3%
34233
 
4.4%
42780
 
2.9%
51792
 
1.9%
61293
 
1.4%
71143
 
1.2%
8822
 
0.9%
9708
 
0.7%
Other values (61)4580
 
4.8%
ValueCountFrequency (%)
057072
59.8%
113995
 
14.7%
26994
 
7.3%
34233
 
4.4%
42780
 
2.9%
ValueCountFrequency (%)
991
 
< 0.1%
801
 
< 0.1%
742
< 0.1%
713
< 0.1%
702
< 0.1%

LSC4
Real number (ℝ≥0)

ZEROS

Distinct79
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3.45415671
Minimum0
Maximum99
Zeros13470
Zeros (%)14.1%
Negative0
Negative (%)0.0%
Memory size745.5 KiB
2022-11-23T02:50:12.466767image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q11
median2
Q34
95-th percentile11
Maximum99
Range99
Interquartile range (IQR)3

Descriptive statistics

Standard deviation4.503741004
Coefficient of variation (CV)1.303861226
Kurtosis48.11457785
Mean3.45415671
Median Absolute Deviation (MAD)1
Skewness5.013634764
Sum329568
Variance20.28368303
MonotonicityNot monotonic
2022-11-23T02:50:12.539483image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
121123
22.1%
217304
18.1%
013470
14.1%
312156
12.7%
48786
9.2%
55849
 
6.1%
64042
 
4.2%
73018
 
3.2%
82156
 
2.3%
91479
 
1.6%
Other values (69)6029
 
6.3%
ValueCountFrequency (%)
013470
14.1%
121123
22.1%
217304
18.1%
312156
12.7%
48786
9.2%
ValueCountFrequency (%)
991
 
< 0.1%
961
 
< 0.1%
921
 
< 0.1%
905
< 0.1%
841
 
< 0.1%

VOC1
Real number (ℝ≥0)

Distinct93
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean91.780667
Minimum0
Maximum99
Zeros897
Zeros (%)0.9%
Negative0
Negative (%)0.0%
Memory size745.5 KiB
2022-11-23T02:50:12.614153image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile74
Q190
median95
Q398
95-th percentile99
Maximum99
Range99
Interquartile range (IQR)8

Descriptive statistics

Standard deviation12.52238754
Coefficient of variation (CV)0.1364381841
Kurtosis28.10327865
Mean91.780667
Median Absolute Deviation (MAD)4
Skewness-4.684198159
Sum8756977
Variance156.8101898
MonotonicityNot monotonic
2022-11-23T02:50:12.686079image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
9921096
22.1%
989549
10.0%
978461
8.9%
967763
 
8.1%
956476
 
6.8%
945668
 
5.9%
934838
 
5.1%
924085
 
4.3%
913563
 
3.7%
903146
 
3.3%
Other values (83)20767
21.8%
ValueCountFrequency (%)
0897
0.9%
77
 
< 0.1%
91
 
< 0.1%
108
 
< 0.1%
112
 
< 0.1%
ValueCountFrequency (%)
9921096
22.1%
989549
10.0%
978461
8.9%
967763
 
8.1%
956476
 
6.8%

VOC2
Real number (ℝ≥0)

ZEROS

Distinct100
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean60.37664025
Minimum0
Maximum99
Zeros983
Zeros (%)1.0%
Negative0
Negative (%)0.0%
Memory size745.5 KiB
2022-11-23T02:50:12.759641image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile25
Q150
median62
Q374
95-th percentile87
Maximum99
Range99
Interquartile range (IQR)24

Descriptive statistics

Standard deviation18.80231995
Coefficient of variation (CV)0.3114171287
Kurtosis0.5124902232
Mean60.37664025
Median Absolute Deviation (MAD)12
Skewness-0.7055436877
Sum5760656
Variance353.5272354
MonotonicityNot monotonic
2022-11-23T02:50:12.830600image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
622192
 
2.3%
642178
 
2.3%
612164
 
2.3%
672159
 
2.3%
652147
 
2.3%
662140
 
2.2%
632081
 
2.2%
702073
 
2.2%
692067
 
2.2%
682066
 
2.2%
Other values (90)74145
77.7%
ValueCountFrequency (%)
0983
1.0%
130
 
< 0.1%
230
 
< 0.1%
359
 
0.1%
444
 
< 0.1%
ValueCountFrequency (%)
99127
0.1%
9846
 
< 0.1%
97102
0.1%
96137
0.1%
95178
0.2%

VOC3
Real number (ℝ≥0)

ZEROS

Distinct78
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean20.01447407
Minimum0
Maximum99
Zeros2161
Zeros (%)2.3%
Negative0
Negative (%)0.0%
Memory size745.5 KiB
2022-11-23T02:50:12.903037image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile3
Q112
median19
Q327
95-th percentile39
Maximum99
Range99
Interquartile range (IQR)15

Descriptive statistics

Standard deviation10.8517761
Coefficient of variation (CV)0.5421964154
Kurtosis0.4603880467
Mean20.01447407
Median Absolute Deviation (MAD)7
Skewness0.5201953505
Sum1909621
Variance117.7610444
MonotonicityNot monotonic
2022-11-23T02:50:13.054299image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
193688
 
3.9%
183609
 
3.8%
163581
 
3.8%
173515
 
3.7%
203496
 
3.7%
153493
 
3.7%
233292
 
3.5%
223257
 
3.4%
143249
 
3.4%
213244
 
3.4%
Other values (68)60988
63.9%
ValueCountFrequency (%)
02161
2.3%
1621
 
0.7%
2937
1.0%
31178
1.2%
41245
1.3%
ValueCountFrequency (%)
999
< 0.1%
871
 
< 0.1%
812
 
< 0.1%
791
 
< 0.1%
752
 
< 0.1%

HC1
Real number (ℝ≥0)

ZEROS

Distinct32
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean6.86174695
Minimum0
Maximum31
Zeros970
Zeros (%)1.0%
Negative0
Negative (%)0.0%
Memory size745.5 KiB
2022-11-23T02:50:13.121639image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile2
Q14
median6
Q39
95-th percentile14
Maximum31
Range31
Interquartile range (IQR)5

Descriptive statistics

Standard deviation3.995041135
Coefficient of variation (CV)0.5822192459
Kurtosis1.910414538
Mean6.86174695
Median Absolute Deviation (MAD)2
Skewness1.145061566
Sum654693
Variance15.96035367
MonotonicityNot monotonic
2022-11-23T02:50:13.181528image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram with fixed size bins (bins=32)
ValueCountFrequency (%)
515100
15.8%
414046
14.7%
39064
9.5%
77467
7.8%
67321
7.7%
87299
7.6%
96335
6.6%
105048
 
5.3%
114073
 
4.3%
23932
 
4.1%
Other values (22)15727
16.5%
ValueCountFrequency (%)
0970
 
1.0%
12482
 
2.6%
23932
 
4.1%
39064
9.5%
414046
14.7%
ValueCountFrequency (%)
3113
< 0.1%
3030
< 0.1%
2914
< 0.1%
289
 
< 0.1%
2720
< 0.1%

HC2
Real number (ℝ≥0)

Distinct53
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean23.87549784
Minimum0
Maximum52
Zeros877
Zeros (%)0.9%
Negative0
Negative (%)0.0%
Memory size745.5 KiB
2022-11-23T02:50:13.251313image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile6
Q115
median21
Q333
95-th percentile51
Maximum52
Range52
Interquartile range (IQR)18

Descriptive statistics

Standard deviation12.53229472
Coefficient of variation (CV)0.5249019225
Kurtosis-0.45732267
Mean23.87549784
Median Absolute Deviation (MAD)8
Skewness0.5163770959
Sum2278009
Variance157.0584109
MonotonicityNot monotonic
2022-11-23T02:50:13.323765image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
514893
 
5.1%
164273
 
4.5%
174037
 
4.2%
183911
 
4.1%
193744
 
3.9%
203533
 
3.7%
153453
 
3.6%
142971
 
3.1%
212840
 
3.0%
252743
 
2.9%
Other values (43)59014
61.9%
ValueCountFrequency (%)
0877
0.9%
188
 
0.1%
2159
 
0.2%
3271
 
0.3%
41130
1.2%
ValueCountFrequency (%)
52127
 
0.1%
514893
5.1%
50411
 
0.4%
49398
 
0.4%
48476
 
0.5%

HC3
Real number (ℝ≥0)

ZEROS

Distinct83
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2.589800025
Minimum0
Maximum99
Zeros49919
Zeros (%)52.3%
Negative0
Negative (%)0.0%
Memory size745.5 KiB
2022-11-23T02:50:13.397006image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q33
95-th percentile11
Maximum99
Range99
Interquartile range (IQR)3

Descriptive statistics

Standard deviation5.991168166
Coefficient of variation (CV)2.313370958
Kurtosis74.76612227
Mean2.589800025
Median Absolute Deviation (MAD)0
Skewness6.843004868
Sum247098
Variance35.894096
MonotonicityNot monotonic
2022-11-23T02:50:13.468977image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
049919
52.3%
29301
 
9.7%
18993
 
9.4%
36631
 
6.9%
44752
 
5.0%
53280
 
3.4%
62265
 
2.4%
71801
 
1.9%
81399
 
1.5%
91005
 
1.1%
Other values (73)6066
 
6.4%
ValueCountFrequency (%)
049919
52.3%
18993
 
9.4%
29301
 
9.7%
36631
 
6.9%
44752
 
5.0%
ValueCountFrequency (%)
9920
< 0.1%
9840
< 0.1%
961
 
< 0.1%
941
 
< 0.1%
933
 
< 0.1%

HC4
Real number (ℝ≥0)

ZEROS

Distinct100
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean12.40979122
Minimum0
Maximum99
Zeros26755
Zeros (%)28.0%
Negative0
Negative (%)0.0%
Memory size745.5 KiB
2022-11-23T02:50:13.542542image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median6
Q317
95-th percentile48
Maximum99
Range99
Interquartile range (IQR)17

Descriptive statistics

Standard deviation17.00474585
Coefficient of variation (CV)1.370268488
Kurtosis6.206998031
Mean12.40979122
Median Absolute Deviation (MAD)6
Skewness2.303799921
Sum1184043
Variance289.1613815
MonotonicityNot monotonic
2022-11-23T02:50:13.614806image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
026755
28.0%
24281
 
4.5%
34058
 
4.3%
43634
 
3.8%
53350
 
3.5%
63280
 
3.4%
72971
 
3.1%
82876
 
3.0%
92711
 
2.8%
12591
 
2.7%
Other values (90)38905
40.8%
ValueCountFrequency (%)
026755
28.0%
12591
 
2.7%
24281
 
4.5%
34058
 
4.3%
43634
 
3.8%
ValueCountFrequency (%)
99253
0.3%
9860
 
0.1%
9742
 
< 0.1%
9625
 
< 0.1%
9542
 
< 0.1%

HC5
Real number (ℝ≥0)

ZEROS

Distinct100
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean22.69477634
Minimum0
Maximum99
Zeros18117
Zeros (%)19.0%
Negative0
Negative (%)0.0%
Memory size745.5 KiB
2022-11-23T02:50:13.688353image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q13
median16
Q334
95-th percentile76
Maximum99
Range99
Interquartile range (IQR)31

Descriptive statistics

Standard deviation23.9221607
Coefficient of variation (CV)1.054082241
Kurtosis1.186702277
Mean22.69477634
Median Absolute Deviation (MAD)14
Skewness1.307911533
Sum2165354
Variance572.2697726
MonotonicityNot monotonic
2022-11-23T02:50:13.761702image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
018117
 
19.0%
32556
 
2.7%
22527
 
2.6%
42397
 
2.5%
52181
 
2.3%
62067
 
2.2%
81993
 
2.1%
71935
 
2.0%
91904
 
2.0%
101858
 
1.9%
Other values (90)57877
60.7%
ValueCountFrequency (%)
018117
19.0%
11262
 
1.3%
22527
 
2.6%
32556
 
2.7%
42397
 
2.5%
ValueCountFrequency (%)
99939
1.0%
98212
 
0.2%
97121
 
0.1%
96175
 
0.2%
95157
 
0.2%

HC6
Real number (ℝ≥0)

ZEROS

Distinct100
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean46.02368675
Minimum0
Maximum99
Zeros8767
Zeros (%)9.2%
Negative0
Negative (%)0.0%
Memory size745.5 KiB
2022-11-23T02:50:13.836399image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q116
median46
Q373
95-th percentile98
Maximum99
Range99
Interquartile range (IQR)57

Descriptive statistics

Standard deviation32.03781175
Coefficient of variation (CV)0.6961157182
Kurtosis-1.237473275
Mean46.02368675
Median Absolute Deviation (MAD)28
Skewness0.09478358174
Sum4391212
Variance1026.421382
MonotonicityNot monotonic
2022-11-23T02:50:13.907066image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
08767
 
9.2%
994613
 
4.8%
31389
 
1.5%
51284
 
1.3%
41273
 
1.3%
21218
 
1.3%
61162
 
1.2%
541094
 
1.1%
981089
 
1.1%
481064
 
1.1%
Other values (90)72459
75.9%
ValueCountFrequency (%)
08767
9.2%
1392
 
0.4%
21218
 
1.3%
31389
 
1.5%
41273
 
1.3%
ValueCountFrequency (%)
994613
4.8%
981089
 
1.1%
97942
 
1.0%
96958
 
1.0%
95802
 
0.8%

HC7
Real number (ℝ≥0)

ZEROS

Distinct100
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean62.41453905
Minimum0
Maximum99
Zeros4089
Zeros (%)4.3%
Negative0
Negative (%)0.0%
Memory size745.5 KiB
2022-11-23T02:50:13.979145image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile3
Q138
median70
Q391
95-th percentile99
Maximum99
Range99
Interquartile range (IQR)53

Descriptive statistics

Standard deviation31.74701814
Coefficient of variation (CV)0.5086478026
Kurtosis-0.957179748
Mean62.41453905
Median Absolute Deviation (MAD)24
Skewness-0.5652442302
Sum5955096
Variance1007.873161
MonotonicityNot monotonic
2022-11-23T02:50:14.051797image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
9911290
 
11.8%
04089
 
4.3%
982415
 
2.5%
972067
 
2.2%
961875
 
2.0%
941659
 
1.7%
951630
 
1.7%
931448
 
1.5%
921414
 
1.5%
901313
 
1.4%
Other values (90)66212
69.4%
ValueCountFrequency (%)
04089
4.3%
162
 
0.1%
2453
 
0.5%
3651
 
0.7%
4640
 
0.7%
ValueCountFrequency (%)
9911290
11.8%
982415
 
2.5%
972067
 
2.2%
961875
 
2.0%
951630
 
1.7%

HC8
Real number (ℝ≥0)

ZEROS

Distinct100
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean36.13353666
Minimum0
Maximum99
Zeros10198
Zeros (%)10.7%
Negative0
Negative (%)0.0%
Memory size745.5 KiB
2022-11-23T02:50:14.202494image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q18
median29
Q360
95-th percentile95
Maximum99
Range99
Interquartile range (IQR)52

Descriptive statistics

Standard deviation31.24149214
Coefficient of variation (CV)0.8646120757
Kurtosis-0.9202107085
Mean36.13353666
Median Absolute Deviation (MAD)24
Skewness0.5797482414
Sum3447573
Variance976.0308309
MonotonicityNot monotonic
2022-11-23T02:50:14.274279image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
010198
 
10.7%
992880
 
3.0%
22410
 
2.5%
12359
 
2.5%
32073
 
2.2%
41876
 
2.0%
61658
 
1.7%
51630
 
1.7%
71451
 
1.5%
81414
 
1.5%
Other values (90)67463
70.7%
ValueCountFrequency (%)
010198
10.7%
12359
 
2.5%
22410
 
2.5%
32073
 
2.2%
41876
 
2.0%
ValueCountFrequency (%)
992880
3.0%
98457
 
0.5%
97648
 
0.7%
96642
 
0.7%
95613
 
0.6%

HC9
Real number (ℝ≥0)

ZEROS

Distinct87
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2.74489582
Minimum0
Maximum90
Zeros69834
Zeros (%)73.2%
Negative0
Negative (%)0.0%
Memory size745.5 KiB
2022-11-23T02:50:14.347765image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q31
95-th percentile17
Maximum90
Range90
Interquartile range (IQR)1

Descriptive statistics

Standard deviation7.690676209
Coefficient of variation (CV)2.801809873
Kurtosis25.27824944
Mean2.74489582
Median Absolute Deviation (MAD)0
Skewness4.47106512
Sum261896
Variance59.14650055
MonotonicityNot monotonic
2022-11-23T02:50:14.417258image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
069834
73.2%
13926
 
4.1%
22868
 
3.0%
32300
 
2.4%
41828
 
1.9%
51534
 
1.6%
61223
 
1.3%
71163
 
1.2%
81013
 
1.1%
9871
 
0.9%
Other values (77)8852
 
9.3%
ValueCountFrequency (%)
069834
73.2%
13926
 
4.1%
22868
 
3.0%
32300
 
2.4%
41828
 
1.9%
ValueCountFrequency (%)
901
 
< 0.1%
895
< 0.1%
884
< 0.1%
842
 
< 0.1%
825
< 0.1%

HC10
Real number (ℝ≥0)

ZEROS

Distinct53
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1.316343856
Minimum0
Maximum62
Zeros69372
Zeros (%)72.7%
Negative0
Negative (%)0.0%
Memory size745.5 KiB
2022-11-23T02:50:14.489332image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q31
95-th percentile8
Maximum62
Range62
Interquartile range (IQR)1

Descriptive statistics

Standard deviation3.410359814
Coefficient of variation (CV)2.590781883
Kurtosis32.05462184
Mean1.316343856
Median Absolute Deviation (MAD)0
Skewness4.628802501
Sum125595
Variance11.63055406
MonotonicityNot monotonic
2022-11-23T02:50:14.559412image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
069372
72.7%
16257
 
6.6%
24637
 
4.9%
33325
 
3.5%
42574
 
2.7%
51866
 
2.0%
61400
 
1.5%
71016
 
1.1%
8901
 
0.9%
9743
 
0.8%
Other values (43)3321
 
3.5%
ValueCountFrequency (%)
069372
72.7%
16257
 
6.6%
24637
 
4.9%
33325
 
3.5%
42574
 
2.7%
ValueCountFrequency (%)
621
< 0.1%
602
< 0.1%
561
< 0.1%
542
< 0.1%
522
< 0.1%

HC11
Real number (ℝ≥0)

ZEROS

Distinct100
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean51.86981721
Minimum0
Maximum99
Zeros9588
Zeros (%)10.0%
Negative0
Negative (%)0.0%
Memory size745.5 KiB
2022-11-23T02:50:14.635343image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q114
median59
Q386
95-th percentile97
Maximum99
Range99
Interquartile range (IQR)72

Descriptive statistics

Standard deviation35.64556734
Coefficient of variation (CV)0.6872121256
Kurtosis-1.490321784
Mean51.86981721
Median Absolute Deviation (MAD)31
Skewness-0.2372275984
Sum4949003
Variance1270.606471
MonotonicityNot monotonic
2022-11-23T02:50:14.707553image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
09588
 
10.0%
13464
 
3.6%
992653
 
2.8%
22224
 
2.3%
941872
 
2.0%
951822
 
1.9%
961791
 
1.9%
911791
 
1.9%
931754
 
1.8%
921742
 
1.8%
Other values (90)66711
69.9%
ValueCountFrequency (%)
09588
10.0%
13464
 
3.6%
22224
 
2.3%
31449
 
1.5%
41091
 
1.1%
ValueCountFrequency (%)
992653
2.8%
981618
1.7%
971692
1.8%
961791
1.9%
951822
1.9%

HC12
Real number (ℝ≥0)

ZEROS

Distinct92
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean6.878463925
Minimum0
Maximum99
Zeros35875
Zeros (%)37.6%
Negative0
Negative (%)0.0%
Memory size745.5 KiB
2022-11-23T02:50:14.781205image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median1
Q37
95-th percentile35
Maximum99
Range99
Interquartile range (IQR)7

Descriptive statistics

Standard deviation12.06832339
Coefficient of variation (CV)1.754508496
Kurtosis6.350377167
Mean6.878463925
Median Absolute Deviation (MAD)1
Skewness2.448975189
Sum656288
Variance145.6444295
MonotonicityNot monotonic
2022-11-23T02:50:14.852455image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
035875
37.6%
112192
 
12.8%
29021
 
9.5%
35248
 
5.5%
43635
 
3.8%
52530
 
2.7%
62052
 
2.2%
71529
 
1.6%
81363
 
1.4%
91233
 
1.3%
Other values (82)20734
21.7%
ValueCountFrequency (%)
035875
37.6%
112192
 
12.8%
29021
 
9.5%
35248
 
5.5%
43635
 
3.8%
ValueCountFrequency (%)
997
< 0.1%
934
< 0.1%
911
 
< 0.1%
891
 
< 0.1%
881
 
< 0.1%

HC13
Real number (ℝ≥0)

ZEROS

Distinct100
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean29.80200604
Minimum0
Maximum99
Zeros5739
Zeros (%)6.0%
Negative0
Negative (%)0.0%
Memory size745.5 KiB
2022-11-23T02:50:14.925278image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q17
median20
Q345
95-th percentile91
Maximum99
Range99
Interquartile range (IQR)38

Descriptive statistics

Standard deviation27.97312263
Coefficient of variation (CV)0.9386322046
Kurtosis-0.08232321687
Mean29.80200604
Median Absolute Deviation (MAD)16
Skewness0.9961991329
Sum2843469
Variance782.4955896
MonotonicityNot monotonic
2022-11-23T02:50:14.997930image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
05739
 
6.0%
33077
 
3.2%
23024
 
3.2%
52898
 
3.0%
42863
 
3.0%
62776
 
2.9%
72517
 
2.6%
82454
 
2.6%
92405
 
2.5%
102104
 
2.2%
Other values (90)65555
68.7%
ValueCountFrequency (%)
05739
6.0%
11674
 
1.8%
23024
3.2%
33077
3.2%
42863
3.0%
ValueCountFrequency (%)
991270
1.3%
98641
0.7%
97551
0.6%
96588
0.6%
95374
 
0.4%

HC14
Real number (ℝ≥0)

ZEROS

Distinct98
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean4.558336478
Minimum0
Maximum99
Zeros52292
Zeros (%)54.8%
Negative0
Negative (%)0.0%
Memory size745.5 KiB
2022-11-23T02:50:15.072212image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q34
95-th percentile26
Maximum99
Range99
Interquartile range (IQR)4

Descriptive statistics

Standard deviation9.664121846
Coefficient of variation (CV)2.120098394
Kurtosis14.03250222
Mean4.558336478
Median Absolute Deviation (MAD)0
Skewness3.32476736
Sum434920
Variance93.39525106
MonotonicityNot monotonic
2022-11-23T02:50:15.144048image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
052292
54.8%
18143
 
8.5%
25678
 
6.0%
33861
 
4.0%
42973
 
3.1%
52235
 
2.3%
61892
 
2.0%
71473
 
1.5%
81268
 
1.3%
91208
 
1.3%
Other values (88)14389
 
15.1%
ValueCountFrequency (%)
052292
54.8%
18143
 
8.5%
25678
 
6.0%
33861
 
4.0%
42973
 
3.1%
ValueCountFrequency (%)
991
 
< 0.1%
978
< 0.1%
963
 
< 0.1%
953
 
< 0.1%
942
 
< 0.1%

HC15
Real number (ℝ≥0)

SKEWED
ZEROS

Distinct16
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.07096591624
Minimum0
Maximum30
Zeros91426
Zeros (%)95.8%
Negative0
Negative (%)0.0%
Memory size745.5 KiB
2022-11-23T02:50:15.281604image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum30
Range30
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.4936261396
Coefficient of variation (CV)6.955820002
Kurtosis1183.393064
Mean0.07096591624
Median Absolute Deviation (MAD)0
Skewness24.18696945
Sum6771
Variance0.2436667657
MonotonicityNot monotonic
2022-11-23T02:50:15.330331image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram with fixed size bins (bins=16)
ValueCountFrequency (%)
091426
95.8%
12567
 
2.7%
2864
 
0.9%
3276
 
0.3%
4128
 
0.1%
567
 
0.1%
630
 
< 0.1%
719
 
< 0.1%
810
 
< 0.1%
99
 
< 0.1%
Other values (6)16
 
< 0.1%
ValueCountFrequency (%)
091426
95.8%
12567
 
2.7%
2864
 
0.9%
3276
 
0.3%
4128
 
0.1%
ValueCountFrequency (%)
307
< 0.1%
291
 
< 0.1%
131
 
< 0.1%
122
 
< 0.1%
111
 
< 0.1%

HC16
Real number (ℝ≥0)

ZEROS

Distinct92
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean5.298736008
Minimum0
Maximum99
Zeros42397
Zeros (%)44.4%
Negative0
Negative (%)0.0%
Memory size745.5 KiB
2022-11-23T02:50:15.395392image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median1
Q35
95-th percentile27
Maximum99
Range99
Interquartile range (IQR)5

Descriptive statistics

Standard deviation10.40312284
Coefficient of variation (CV)1.963321598
Kurtosis12.13648208
Mean5.298736008
Median Absolute Deviation (MAD)1
Skewness3.206059711
Sum505563
Variance108.2249649
MonotonicityNot monotonic
2022-11-23T02:50:15.466844image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
042397
44.4%
110201
 
10.7%
27852
 
8.2%
35273
 
5.5%
43602
 
3.8%
53046
 
3.2%
62225
 
2.3%
71853
 
1.9%
81548
 
1.6%
101394
 
1.5%
Other values (82)16021
 
16.8%
ValueCountFrequency (%)
042397
44.4%
110201
 
10.7%
27852
 
8.2%
35273
 
5.5%
43602
 
3.8%
ValueCountFrequency (%)
991
 
< 0.1%
941
 
< 0.1%
911
 
< 0.1%
902
< 0.1%
894
< 0.1%

HC17
Real number (ℝ≥0)

ZEROS

Distinct100
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean82.63049721
Minimum0
Maximum99
Zeros2599
Zeros (%)2.7%
Negative0
Negative (%)0.0%
Memory size745.5 KiB
2022-11-23T02:50:15.539650image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile7
Q179
median99
Q399
95-th percentile99
Maximum99
Range99
Interquartile range (IQR)20

Descriptive statistics

Standard deviation28.46529962
Coefficient of variation (CV)0.3444890275
Kurtosis1.94772121
Mean82.63049721
Median Absolute Deviation (MAD)0
Skewness-1.791230915
Sum7883941
Variance810.2732827
MonotonicityNot monotonic
2022-11-23T02:50:15.611207image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
9949918
52.3%
983988
 
4.2%
02599
 
2.7%
972545
 
2.7%
961837
 
1.9%
951599
 
1.7%
941321
 
1.4%
931279
 
1.3%
911014
 
1.1%
92971
 
1.0%
Other values (90)28341
29.7%
ValueCountFrequency (%)
02599
2.7%
1513
 
0.5%
2495
 
0.5%
3373
 
0.4%
4299
 
0.3%
ValueCountFrequency (%)
9949918
52.3%
983988
 
4.2%
972545
 
2.7%
961837
 
1.9%
951599
 
1.7%

HC18
Real number (ℝ≥0)

ZEROS

Distinct100
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean15.15286337
Minimum0
Maximum99
Zeros46610
Zeros (%)48.9%
Negative0
Negative (%)0.0%
Memory size745.5 KiB
2022-11-23T02:50:15.684038image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median1
Q317
95-th percentile86
Maximum99
Range99
Interquartile range (IQR)17

Descriptive statistics

Standard deviation26.70410762
Coefficient of variation (CV)1.762314287
Kurtosis2.510203203
Mean15.15286337
Median Absolute Deviation (MAD)1
Skewness1.908514572
Sum1445765
Variance713.1093636
MonotonicityNot monotonic
2022-11-23T02:50:15.755508image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
046610
48.9%
15254
 
5.5%
23778
 
4.0%
32496
 
2.6%
41856
 
1.9%
991568
 
1.6%
51546
 
1.6%
61334
 
1.4%
71283
 
1.3%
81007
 
1.1%
Other values (90)28680
30.1%
ValueCountFrequency (%)
046610
48.9%
15254
 
5.5%
23778
 
4.0%
32496
 
2.6%
41856
 
1.9%
ValueCountFrequency (%)
991568
1.6%
98530
 
0.6%
97386
 
0.4%
96295
 
0.3%
95271
 
0.3%

HC19
Real number (ℝ≥0)

ZEROS

Distinct100
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean71.94456672
Minimum0
Maximum99
Zeros3540
Zeros (%)3.7%
Negative0
Negative (%)0.0%
Memory size745.5 KiB
2022-11-23T02:50:15.828297image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile1
Q145
median95
Q399
95-th percentile99
Maximum99
Range99
Interquartile range (IQR)54

Descriptive statistics

Standard deviation35.5810578
Coefficient of variation (CV)0.4945621249
Kurtosis-0.6611171925
Mean71.94456672
Median Absolute Deviation (MAD)4
Skewness-0.9777153077
Sum6864375
Variance1266.011674
MonotonicityNot monotonic
2022-11-23T02:50:15.901557image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
9935462
37.2%
985007
 
5.2%
03540
 
3.7%
973445
 
3.6%
962357
 
2.5%
951788
 
1.9%
941431
 
1.5%
21316
 
1.4%
11264
 
1.3%
31147
 
1.2%
Other values (90)38655
40.5%
ValueCountFrequency (%)
03540
3.7%
11264
 
1.3%
21316
 
1.4%
31147
 
1.2%
4945
 
1.0%
ValueCountFrequency (%)
9935462
37.2%
985007
 
5.2%
973445
 
3.6%
962357
 
2.5%
951788
 
1.9%

HC20
Real number (ℝ≥0)

Distinct61
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean97.56156458
Minimum0
Maximum99
Zeros871
Zeros (%)0.9%
Negative0
Negative (%)0.0%
Memory size745.5 KiB
2022-11-23T02:50:15.976267image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile95
Q199
median99
Q399
95-th percentile99
Maximum99
Range99
Interquartile range (IQR)0

Descriptive statistics

Standard deviation9.626052231
Coefficient of variation (CV)0.09866643972
Kurtosis94.49554204
Mean97.56156458
Median Absolute Deviation (MAD)0
Skewness-9.681437618
Sum9308544
Variance92.66088155
MonotonicityNot monotonic
2022-11-23T02:50:16.049728image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
9977878
81.6%
987032
 
7.4%
973734
 
3.9%
961870
 
2.0%
951159
 
1.2%
0871
 
0.9%
94809
 
0.8%
93557
 
0.6%
92359
 
0.4%
91247
 
0.3%
Other values (51)896
 
0.9%
ValueCountFrequency (%)
0871
0.9%
81
 
< 0.1%
111
 
< 0.1%
148
 
< 0.1%
181
 
< 0.1%
ValueCountFrequency (%)
9977878
81.6%
987032
 
7.4%
973734
 
3.9%
961870
 
2.0%
951159
 
1.2%

HC21
Real number (ℝ≥0)

Distinct77
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean94.39388127
Minimum0
Maximum99
Zeros885
Zeros (%)0.9%
Negative0
Negative (%)0.0%
Memory size745.5 KiB
2022-11-23T02:50:16.124662image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile83
Q193
median98
Q399
95-th percentile99
Maximum99
Range99
Interquartile range (IQR)6

Descriptive statistics

Standard deviation10.73967048
Coefficient of variation (CV)0.1137750703
Kurtosis53.55319227
Mean94.39388127
Median Absolute Deviation (MAD)1
Skewness-6.634366273
Sum9006309
Variance115.340522
MonotonicityNot monotonic
2022-11-23T02:50:16.195744image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
9939864
41.8%
989435
 
9.9%
977319
 
7.7%
965702
 
6.0%
954972
 
5.2%
943956
 
4.1%
933416
 
3.6%
922974
 
3.1%
912471
 
2.6%
902165
 
2.3%
Other values (67)13138
 
13.8%
ValueCountFrequency (%)
0885
0.9%
41
 
< 0.1%
93
 
< 0.1%
151
 
< 0.1%
191
 
< 0.1%
ValueCountFrequency (%)
9939864
41.8%
989435
 
9.9%
977319
 
7.7%
965702
 
6.0%
954972
 
5.2%

MHUC1
Real number (ℝ≥0)

ZEROS

Distinct22
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean8.11283696
Minimum0
Maximum21
Zeros2380
Zeros (%)2.5%
Negative0
Negative (%)0.0%
Memory size745.5 KiB
2022-11-23T02:50:16.259280image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile4
Q16
median8
Q39
95-th percentile15
Maximum21
Range21
Interquartile range (IQR)3

Descriptive statistics

Standard deviation3.530980068
Coefficient of variation (CV)0.4352337026
Kurtosis2.103839876
Mean8.11283696
Median Absolute Deviation (MAD)2
Skewness0.9290674297
Sum774062
Variance12.46782024
MonotonicityNot monotonic
2022-11-23T02:50:16.313287image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram with fixed size bins (bins=22)
ValueCountFrequency (%)
915324
16.1%
814139
14.8%
712168
12.8%
612056
12.6%
510163
10.7%
106714
7.0%
44695
 
4.9%
114053
 
4.2%
122818
 
3.0%
02380
 
2.5%
Other values (12)10902
11.4%
ValueCountFrequency (%)
02380
2.5%
167
 
0.1%
2422
 
0.4%
31270
 
1.3%
44695
4.9%
ValueCountFrequency (%)
21163
 
0.2%
201549
1.6%
19391
 
0.4%
18621
0.7%
17683
0.7%

MHUC2
Real number (ℝ≥0)

ZEROS

Distinct6
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2.331551587
Minimum0
Maximum5
Zeros3667
Zeros (%)3.8%
Negative0
Negative (%)0.0%
Memory size745.5 KiB
2022-11-23T02:50:16.440821image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile1
Q12
median2
Q33
95-th percentile4
Maximum5
Range5
Interquartile range (IQR)1

Descriptive statistics

Standard deviation0.8668688143
Coefficient of variation (CV)0.371799114
Kurtosis1.339682317
Mean2.331551587
Median Absolute Deviation (MAD)0
Skewness0.06323499986
Sum222458
Variance0.7514615412
MonotonicityNot monotonic
2022-11-23T02:50:16.487879image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
254924
57.6%
324470
25.6%
47667
 
8.0%
13722
 
3.9%
03667
 
3.8%
5962
 
1.0%
ValueCountFrequency (%)
03667
 
3.8%
13722
 
3.9%
254924
57.6%
324470
25.6%
47667
 
8.0%
ValueCountFrequency (%)
5962
 
1.0%
47667
 
8.0%
324470
25.6%
254924
57.6%
13722
 
3.9%

AC1
Real number (ℝ≥0)

ZEROS

Distinct37
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean5.82587096
Minimum0
Maximum99
Zeros2497
Zeros (%)2.6%
Negative0
Negative (%)0.0%
Memory size745.5 KiB
2022-11-23T02:50:16.545609image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile1
Q14
median6
Q37
95-th percentile11
Maximum99
Range99
Interquartile range (IQR)3

Descriptive statistics

Standard deviation2.87034354
Coefficient of variation (CV)0.4926891722
Kurtosis26.57245735
Mean5.82587096
Median Absolute Deviation (MAD)2
Skewness1.497452874
Sum555858
Variance8.238872039
MonotonicityNot monotonic
2022-11-23T02:50:16.610918image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram with fixed size bins (bins=37)
ValueCountFrequency (%)
615930
16.7%
514530
15.2%
713152
13.8%
411720
12.3%
88350
8.8%
38252
8.6%
25123
 
5.4%
95085
 
5.3%
103153
 
3.3%
02497
 
2.6%
Other values (27)7620
8.0%
ValueCountFrequency (%)
02497
 
2.6%
12309
 
2.4%
25123
5.4%
38252
8.6%
411720
12.3%
ValueCountFrequency (%)
992
< 0.1%
501
< 0.1%
401
< 0.1%
392
< 0.1%
381
< 0.1%

AC2
Real number (ℝ≥0)

ZEROS

Distinct39
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean5.981333585
Minimum0
Maximum99
Zeros2602
Zeros (%)2.7%
Negative0
Negative (%)0.0%
Memory size745.5 KiB
2022-11-23T02:50:16.678439image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile1
Q14
median6
Q38
95-th percentile12
Maximum99
Range99
Interquartile range (IQR)4

Descriptive statistics

Standard deviation3.252164918
Coefficient of variation (CV)0.5437190339
Kurtosis12.44787179
Mean5.981333585
Median Absolute Deviation (MAD)2
Skewness1.402726423
Sum570691
Variance10.57657665
MonotonicityNot monotonic
2022-11-23T02:50:16.744910image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram with fixed size bins (bins=39)
ValueCountFrequency (%)
613850
14.5%
513317
14.0%
711641
12.2%
411437
12.0%
38761
9.2%
88363
8.8%
25773
6.1%
95527
 
5.8%
103700
 
3.9%
12876
 
3.0%
Other values (29)10167
10.7%
ValueCountFrequency (%)
02602
 
2.7%
12876
 
3.0%
25773
6.1%
38761
9.2%
411437
12.0%
ValueCountFrequency (%)
991
 
< 0.1%
541
 
< 0.1%
504
< 0.1%
473
< 0.1%
421
 
< 0.1%

ADATE_2
Real number (ℝ≥0)

SKEWED

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean9705.999727
Minimum9704
Maximum9706
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size745.5 KiB
2022-11-23T02:50:16.801318image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

Quantile statistics

Minimum9704
5-th percentile9706
Q19706
median9706
Q39706
95-th percentile9706
Maximum9706
Range2
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.02334387018
Coefficient of variation (CV)2.405096933 × 10-6
Kurtosis7334.769182
Mean9705.999727
Median Absolute Deviation (MAD)0
Skewness-85.65404505
Sum926068846
Variance0.000544936275
MonotonicityNot monotonic
2022-11-23T02:50:16.848591image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
970695399
> 99.9%
970413
 
< 0.1%
ValueCountFrequency (%)
970413
 
< 0.1%
970695399
> 99.9%
ValueCountFrequency (%)
970695399
> 99.9%
970413
 
< 0.1%

ADATE_3
Real number (ℝ≥0)

MISSING
SKEWED

Distinct2
Distinct (%)< 0.1%
Missing1950
Missing (%)2.0%
Infinite0
Infinite (%)0.0%
Mean9605.999615
Minimum9604
Maximum9606
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size745.5 KiB
2022-11-23T02:50:16.901294image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

Quantile statistics

Minimum9604
5-th percentile9606
Q19606
median9606
Q39606
95-th percentile9606
Maximum9606
Range2
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.02775295373
Coefficient of variation (CV)2.889127092 × 10-6
Kurtosis5187.611111
Mean9605.999615
Median Absolute Deviation (MAD)0
Skewness-72.03818502
Sum897795936
Variance0.000770226441
MonotonicityNot monotonic
2022-11-23T02:50:16.947841image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
960693444
97.9%
960418
 
< 0.1%
(Missing)1950
 
2.0%
ValueCountFrequency (%)
960418
 
< 0.1%
960693444
97.9%
ValueCountFrequency (%)
960693444
97.9%
960418
 
< 0.1%

ADATE_4
Real number (ℝ≥0)

MISSING
SKEWED

Distinct8
Distinct (%)< 0.1%
Missing2191
Missing (%)2.3%
Infinite0
Infinite (%)0.0%
Mean9604.015383
Minimum9511
Maximum9609
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size745.5 KiB
2022-11-23T02:50:17.000121image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

Quantile statistics

Minimum9511
5-th percentile9604
Q19604
median9604
Q39604
95-th percentile9604
Maximum9609
Range98
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.955061613
Coefficient of variation (CV)9.944399035 × 10-5
Kurtosis8440.482508
Mean9604.015383
Median Absolute Deviation (MAD)0
Skewness-86.88726935
Sum895295918
Variance0.9121426847
MonotonicityNot monotonic
2022-11-23T02:50:17.045868image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram with fixed size bins (bins=8)
ValueCountFrequency (%)
960492405
96.8%
9607403
 
0.4%
9605199
 
0.2%
9609178
 
0.2%
960321
 
< 0.1%
96026
 
< 0.1%
95126
 
< 0.1%
95113
 
< 0.1%
(Missing)2191
 
2.3%
ValueCountFrequency (%)
95113
 
< 0.1%
95126
 
< 0.1%
96026
 
< 0.1%
960321
 
< 0.1%
960492405
96.8%
ValueCountFrequency (%)
9609178
 
0.2%
9607403
 
0.4%
9605199
 
0.2%
960492405
96.8%
960321
 
< 0.1%

ADATE_5
Real number (ℝ≥0)

CONSTANT
MISSING
REJECTED

Distinct1
Distinct (%)< 0.1%
Missing33590
Missing (%)35.2%
Infinite0
Infinite (%)0.0%
Mean9604
Minimum9604
Maximum9604
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size745.5 KiB
2022-11-23T02:50:17.091806image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

Quantile statistics

Minimum9604
5-th percentile9604
Q19604
median9604
Q39604
95-th percentile9604
Maximum9604
Range0
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0
Coefficient of variation (CV)0
Kurtosis0
Mean9604
Median Absolute Deviation (MAD)0
Skewness0
Sum593738488
Variance0
MonotonicityIncreasing
2022-11-23T02:50:17.136147image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram with fixed size bins (bins=1)
ValueCountFrequency (%)
960461822
64.8%
(Missing)33590
35.2%
ValueCountFrequency (%)
960461822
64.8%
ValueCountFrequency (%)
960461822
64.8%

ADATE_6
Real number (ℝ≥0)

MISSING
SKEWED

Distinct2
Distinct (%)< 0.1%
Missing3557
Missing (%)3.7%
Infinite0
Infinite (%)0.0%
Mean9602.99889
Minimum9601
Maximum9603
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size745.5 KiB
2022-11-23T02:50:17.183274image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

Quantile statistics

Minimum9601
5-th percentile9603
Q19603
median9603
Q39603
95-th percentile9603
Maximum9603
Range2
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.04711350866
Coefficient of variation (CV)4.906124555 × 10-6
Kurtosis1796.176823
Mean9602.99889
Median Absolute Deviation (MAD)0
Skewness-42.40445394
Sum882083463
Variance0.002219682698
MonotonicityNot monotonic
2022-11-23T02:50:17.229950image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
960391804
96.2%
960151
 
0.1%
(Missing)3557
 
3.7%
ValueCountFrequency (%)
960151
 
0.1%
960391804
96.2%
ValueCountFrequency (%)
960391804
96.2%
960151
 
0.1%

ADATE_7
Real number (ℝ≥0)

MISSING
SKEWED

Distinct3
Distinct (%)< 0.1%
Missing8874
Missing (%)9.3%
Infinite0
Infinite (%)0.0%
Mean9601.818507
Minimum9512
Maximum9602
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size745.5 KiB
2022-11-23T02:50:17.281705image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

Quantile statistics

Minimum9512
5-th percentile9601
Q19602
median9602
Q39602
95-th percentile9602
Maximum9602
Range90
Interquartile range (IQR)0

Descriptive statistics

Standard deviation3.354987674
Coefficient of variation (CV)0.0003494116944
Kurtosis709.3758802
Mean9601.818507
Median Absolute Deviation (MAD)0
Skewness-26.60879245
Sum830922170
Variance11.2559423
MonotonicityNot monotonic
2022-11-23T02:50:17.323460image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram with fixed size bins (bins=3)
ValueCountFrequency (%)
960281512
85.4%
96014906
 
5.1%
9512120
 
0.1%
(Missing)8874
 
9.3%
ValueCountFrequency (%)
9512120
 
0.1%
96014906
 
5.1%
960281512
85.4%
ValueCountFrequency (%)
960281512
85.4%
96014906
 
5.1%
9512120
 
0.1%

ADATE_8
Real number (ℝ≥0)

MISSING

Distinct5
Distinct (%)< 0.1%
Missing3511
Missing (%)3.7%
Infinite0
Infinite (%)0.0%
Mean9594.791384
Minimum9511
Maximum9605
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size745.5 KiB
2022-11-23T02:50:17.367922image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

Quantile statistics

Minimum9511
5-th percentile9512
Q19601
median9601
Q39601
95-th percentile9601
Maximum9605
Range94
Interquartile range (IQR)0

Descriptive statistics

Standard deviation22.67437482
Coefficient of variation (CV)0.002363196229
Kurtosis9.410451758
Mean9594.791384
Median Absolute Deviation (MAD)0
Skewness-3.377896204
Sum881770923
Variance514.1272733
MonotonicityNot monotonic
2022-11-23T02:50:17.414700image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
960185468
89.6%
95126360
 
6.7%
951151
 
0.1%
960318
 
< 0.1%
96054
 
< 0.1%
(Missing)3511
 
3.7%
ValueCountFrequency (%)
951151
 
0.1%
95126360
 
6.7%
960185468
89.6%
960318
 
< 0.1%
96054
 
< 0.1%
ValueCountFrequency (%)
96054
 
< 0.1%
960318
 
< 0.1%
960185468
89.6%
95126360
 
6.7%
951151
 
0.1%

ADATE_9
Real number (ℝ≥0)

MISSING

Distinct3
Distinct (%)< 0.1%
Missing11245
Missing (%)11.8%
Infinite0
Infinite (%)0.0%
Mean9510.927074
Minimum9509
Maximum9511
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size745.5 KiB
2022-11-23T02:50:17.463976image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

Quantile statistics

Minimum9509
5-th percentile9511
Q19511
median9511
Q39511
95-th percentile9511
Maximum9511
Range2
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.3626382726
Coefficient of variation (CV)3.812859354 × 10-5
Kurtosis22.86625691
Mean9510.927074
Median Absolute Deviation (MAD)0
Skewness-4.937518013
Sum800506199
Variance0.1315065167
MonotonicityNot monotonic
2022-11-23T02:50:17.513894image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram with fixed size bins (bins=3)
ValueCountFrequency (%)
951180718
84.6%
95092689
 
2.8%
9510760
 
0.8%
(Missing)11245
 
11.8%
ValueCountFrequency (%)
95092689
 
2.8%
9510760
 
0.8%
951180718
84.6%
ValueCountFrequency (%)
951180718
84.6%
9510760
 
0.8%
95092689
 
2.8%

ADATE_10
Real number (ℝ≥0)

MISSING

Distinct2
Distinct (%)< 0.1%
Missing32748
Missing (%)34.3%
Infinite0
Infinite (%)0.0%
Mean9510.081418
Minimum9510
Maximum9511
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size745.5 KiB
2022-11-23T02:50:17.569046image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

Quantile statistics

Minimum9510
5-th percentile9510
Q19510
median9510
Q39510
95-th percentile9511
Maximum9511
Range1
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.2734787061
Coefficient of variation (CV)2.875671554 × 10-5
Kurtosis7.371561037
Mean9510.081418
Median Absolute Deviation (MAD)0
Skewness3.06126212
Sum595939742
Variance0.07479060269
MonotonicityNot monotonic
2022-11-23T02:50:17.617652image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
951057562
60.3%
95115102
 
5.3%
(Missing)32748
34.3%
ValueCountFrequency (%)
951057562
60.3%
95115102
 
5.3%
ValueCountFrequency (%)
95115102
 
5.3%
951057562
60.3%

ADATE_11
Real number (ℝ≥0)

MISSING

Distinct4
Distinct (%)< 0.1%
Missing10422
Missing (%)10.9%
Infinite0
Infinite (%)0.0%
Mean9509.78634
Minimum9508
Maximum9511
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size745.5 KiB
2022-11-23T02:50:17.666116image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

Quantile statistics

Minimum9508
5-th percentile9509
Q19509
median9510
Q39510
95-th percentile9510
Maximum9511
Range3
Interquartile range (IQR)1

Descriptive statistics

Standard deviation0.5165504965
Coefficient of variation (CV)5.43177815 × 10-5
Kurtosis0.01356114348
Mean9509.78634
Median Absolute Deviation (MAD)0
Skewness-0.2723672883
Sum808236741
Variance0.2668244154
MonotonicityNot monotonic
2022-11-23T02:50:17.788181image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram with fixed size bins (bins=4)
ValueCountFrequency (%)
951058631
61.5%
950922160
 
23.2%
95114133
 
4.3%
950866
 
0.1%
(Missing)10422
 
10.9%
ValueCountFrequency (%)
950866
 
0.1%
950922160
 
23.2%
951058631
61.5%
95114133
 
4.3%
ValueCountFrequency (%)
95114133
 
4.3%
951058631
61.5%
950922160
 
23.2%
950866
 
0.1%

ADATE_12
Real number (ℝ≥0)

MISSING

Distinct4
Distinct (%)< 0.1%
Missing8923
Missing (%)9.4%
Infinite0
Infinite (%)0.0%
Mean9508.436495
Minimum9507
Maximum9510
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size745.5 KiB
2022-11-23T02:50:17.838580image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

Quantile statistics

Minimum9507
5-th percentile9508
Q19508
median9508
Q39509
95-th percentile9509
Maximum9510
Range3
Interquartile range (IQR)1

Descriptive statistics

Standard deviation0.5130956369
Coefficient of variation (CV)5.396214585 × 10-5
Kurtosis-1.360561468
Mean9508.436495
Median Absolute Deviation (MAD)0
Skewness0.4159130305
Sum822375164
Variance0.2632671326
MonotonicityNot monotonic
2022-11-23T02:50:17.883160image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram with fixed size bins (bins=4)
ValueCountFrequency (%)
950849299
51.7%
950936442
38.2%
9510686
 
0.7%
950762
 
0.1%
(Missing)8923
 
9.4%
ValueCountFrequency (%)
950762
 
0.1%
950849299
51.7%
950936442
38.2%
9510686
 
0.7%
ValueCountFrequency (%)
9510686
 
0.7%
950936442
38.2%
950849299
51.7%
950762
 
0.1%

ADATE_13
Real number (ℝ≥0)

MISSING

Distinct3
Distinct (%)< 0.1%
Missing40219
Missing (%)42.2%
Infinite0
Infinite (%)0.0%
Mean9506.971011
Minimum9502
Maximum9507
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size745.5 KiB
2022-11-23T02:50:17.931292image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

Quantile statistics

Minimum9502
5-th percentile9507
Q19507
median9507
Q39507
95-th percentile9507
Maximum9507
Range5
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.3600184731
Coefficient of variation (CV)3.786889354 × 10-5
Kurtosis181.6119895
Mean9506.971011
Median Absolute Deviation (MAD)0
Skewness-13.4259976
Sum524718251
Variance0.129613301
MonotonicityNot monotonic
2022-11-23T02:50:17.978716image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram with fixed size bins (bins=3)
ValueCountFrequency (%)
950754713
57.3%
9502280
 
0.3%
9506200
 
0.2%
(Missing)40219
42.2%
ValueCountFrequency (%)
9502280
 
0.3%
9506200
 
0.2%
950754713
57.3%
ValueCountFrequency (%)
950754713
57.3%
9506200
 
0.2%
9502280
 
0.3%

ADATE_14
Real number (ℝ≥0)

MISSING
SKEWED

Distinct2
Distinct (%)< 0.1%
Missing18867
Missing (%)19.8%
Infinite0
Infinite (%)0.0%
Mean9505.995715
Minimum9504
Maximum9506
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size745.5 KiB
2022-11-23T02:50:18.026403image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

Quantile statistics

Minimum9504
5-th percentile9506
Q19506
median9506
Q39506
95-th percentile9506
Maximum9506
Range2
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.09247633279
Coefficient of variation (CV)9.728211074 × 10-6
Kurtosis461.7701932
Mean9505.995715
Median Absolute Deviation (MAD)0
Skewness-21.53504418
Sum727636442
Variance0.008551872125
MonotonicityNot monotonic
2022-11-23T02:50:18.075486image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
950676381
80.1%
9504164
 
0.2%
(Missing)18867
 
19.8%
ValueCountFrequency (%)
9504164
 
0.2%
950676381
80.1%
ValueCountFrequency (%)
950676381
80.1%
9504164
 
0.2%

ADATE_15
Real number (ℝ≥0)

CONSTANT
MISSING
REJECTED

Distinct1
Distinct (%)< 0.1%
Missing65477
Missing (%)68.6%
Infinite0
Infinite (%)0.0%
Mean9504
Minimum9504
Maximum9504
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size745.5 KiB
2022-11-23T02:50:18.129820image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

Quantile statistics

Minimum9504
5-th percentile9504
Q19504
median9504
Q39504
95-th percentile9504
Maximum9504
Range0
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0
Coefficient of variation (CV)0
Kurtosis0
Mean9504
Median Absolute Deviation (MAD)0
Skewness0
Sum284502240
Variance0
MonotonicityIncreasing
2022-11-23T02:50:18.174148image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram with fixed size bins (bins=1)
ValueCountFrequency (%)
950429935
31.4%
(Missing)65477
68.6%
ValueCountFrequency (%)
950429935
31.4%
ValueCountFrequency (%)
950429935
31.4%

ADATE_16
Real number (ℝ≥0)

MISSING

Distinct3
Distinct (%)< 0.1%
Missing20364
Missing (%)21.3%
Infinite0
Infinite (%)0.0%
Mean9503.018362
Minimum9502
Maximum9504
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size745.5 KiB
2022-11-23T02:50:18.221448image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

Quantile statistics

Minimum9502
5-th percentile9503
Q19503
median9503
Q39503
95-th percentile9503
Maximum9504
Range2
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.1460454388
Coefficient of variation (CV)1.536832123 × 10-5
Kurtosis41.75969288
Mean9503.018362
Median Absolute Deviation (MAD)0
Skewness5.515550976
Sum713182522
Variance0.02132927019
MonotonicityNot monotonic
2022-11-23T02:50:18.270641image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram with fixed size bins (bins=3)
ValueCountFrequency (%)
950373422
77.0%
95041502
 
1.6%
9502124
 
0.1%
(Missing)20364
 
21.3%
ValueCountFrequency (%)
9502124
 
0.1%
950373422
77.0%
95041502
 
1.6%
ValueCountFrequency (%)
95041502
 
1.6%
950373422
77.0%
9502124
 
0.1%

ADATE_17
Real number (ℝ≥0)

MISSING

Distinct3
Distinct (%)< 0.1%
Missing27650
Missing (%)29.0%
Infinite0
Infinite (%)0.0%
Mean9501.920339
Minimum9501
Maximum9503
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size745.5 KiB
2022-11-23T02:50:18.325227image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

Quantile statistics

Minimum9501
5-th percentile9501
Q19502
median9502
Q39502
95-th percentile9502
Maximum9503
Range2
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.2718034989
Coefficient of variation (CV)2.860511236 × 10-5
Kurtosis7.586119497
Mean9501.920339
Median Absolute Deviation (MAD)0
Skewness-3.062898869
Sum643869126
Variance0.07387714202
MonotonicityNot monotonic
2022-11-23T02:50:18.373798image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram with fixed size bins (bins=3)
ValueCountFrequency (%)
950262326
65.3%
95015417
 
5.7%
950319
 
< 0.1%
(Missing)27650
29.0%
ValueCountFrequency (%)
95015417
 
5.7%
950262326
65.3%
950319
 
< 0.1%
ValueCountFrequency (%)
950319
 
< 0.1%
950262326
65.3%
95015417
 
5.7%

ADATE_18
Real number (ℝ≥0)

MISSING

Distinct9
Distinct (%)< 0.1%
Missing21263
Missing (%)22.3%
Infinite0
Infinite (%)0.0%
Mean9464.210805
Minimum9409
Maximum9508
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size745.5 KiB
2022-11-23T02:50:18.428226image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

Quantile statistics

Minimum9409
5-th percentile9412
Q19412
median9501
Q39501
95-th percentile9501
Maximum9508
Range99
Interquartile range (IQR)89

Descriptive statistics

Standard deviation43.83211249
Coefficient of variation (CV)0.004631354203
Kurtosis-1.876185631
Mean9464.210805
Median Absolute Deviation (MAD)0
Skewness-0.3518957513
Sum701761767
Variance1921.254085
MonotonicityNot monotonic
2022-11-23T02:50:18.474890image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram with fixed size bins (bins=9)
ValueCountFrequency (%)
950143453
45.5%
941230521
32.0%
941198
 
0.1%
940931
 
< 0.1%
950515
 
< 0.1%
950410
 
< 0.1%
95028
 
< 0.1%
95087
 
< 0.1%
95036
 
< 0.1%
(Missing)21263
22.3%
ValueCountFrequency (%)
940931
 
< 0.1%
941198
 
0.1%
941230521
32.0%
950143453
45.5%
95028
 
< 0.1%
ValueCountFrequency (%)
95087
< 0.1%
950515
< 0.1%
950410
< 0.1%
95036
 
< 0.1%
95028
< 0.1%

ADATE_19
Real number (ℝ≥0)

MISSING

Distinct3
Distinct (%)< 0.1%
Missing24480
Missing (%)25.7%
Infinite0
Infinite (%)0.0%
Mean9410.955253
Minimum9409
Maximum9411
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size745.5 KiB
2022-11-23T02:50:18.521873image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

Quantile statistics

Minimum9409
5-th percentile9411
Q19411
median9411
Q39411
95-th percentile9411
Maximum9411
Range2
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.2938316568
Coefficient of variation (CV)3.122229879 × 10-5
Kurtosis39.8688656
Mean9410.955253
Median Absolute Deviation (MAD)0
Skewness-6.45869315
Sum667537878
Variance0.08633704252
MonotonicityNot monotonic
2022-11-23T02:50:18.571013image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram with fixed size bins (bins=3)
ValueCountFrequency (%)
941169304
72.6%
94091546
 
1.6%
941082
 
0.1%
(Missing)24480
 
25.7%
ValueCountFrequency (%)
94091546
 
1.6%
941082
 
0.1%
941169304
72.6%
ValueCountFrequency (%)
941169304
72.6%
941082
 
0.1%
94091546
 
1.6%

ADATE_20
Real number (ℝ≥0)

MISSING
SKEWED

Distinct2
Distinct (%)< 0.1%
Missing50200
Missing (%)52.6%
Infinite0
Infinite (%)0.0%
Mean9411.00031
Minimum9411
Maximum9412
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size745.5 KiB
2022-11-23T02:50:18.625579image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

Quantile statistics

Minimum9411
5-th percentile9411
Q19411
median9411
Q39411
95-th percentile9411
Maximum9412
Range1
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.01759441011
Coefficient of variation (CV)1.869557914 × 10-6
Kurtosis3224.785632
Mean9411.00031
Median Absolute Deviation (MAD)0
Skewness56.80354725
Sum425490146
Variance0.0003095632671
MonotonicityNot monotonic
2022-11-23T02:50:18.672120image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
941145198
47.4%
941214
 
< 0.1%
(Missing)50200
52.6%
ValueCountFrequency (%)
941145198
47.4%
941214
 
< 0.1%
ValueCountFrequency (%)
941214
 
< 0.1%
941145198
47.4%

ADATE_21
Real number (ℝ≥0)

MISSING

Distinct2
Distinct (%)< 0.1%
Missing35212
Missing (%)36.9%
Infinite0
Infinite (%)0.0%
Mean9409.92799
Minimum9409
Maximum9410
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size745.5 KiB
2022-11-23T02:50:18.719710image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

Quantile statistics

Minimum9409
5-th percentile9409
Q19410
median9410
Q39410
95-th percentile9410
Maximum9410
Range1
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.2585065599
Coefficient of variation (CV)2.747168312 × 10-5
Kurtosis8.965408616
Mean9409.92799
Median Absolute Deviation (MAD)0
Skewness-3.311360863
Sum566477665
Variance0.06682564152
MonotonicityNot monotonic
2022-11-23T02:50:18.767821image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
941055865
58.6%
94094335
 
4.5%
(Missing)35212
36.9%
ValueCountFrequency (%)
94094335
 
4.5%
941055865
58.6%
ValueCountFrequency (%)
941055865
58.6%
94094335
 
4.5%

ADATE_22
Real number (ℝ≥0)

MISSING

Distinct5
Distinct (%)< 0.1%
Missing25648
Missing (%)26.9%
Infinite0
Infinite (%)0.0%
Mean9410.041956
Minimum9408
Maximum9506
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size745.5 KiB
2022-11-23T02:50:18.816106image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

Quantile statistics

Minimum9408
5-th percentile9408
Q19409
median9409
Q39409
95-th percentile9409
Maximum9506
Range98
Interquartile range (IQR)0

Descriptive statistics

Standard deviation10.3449875
Coefficient of variation (CV)0.00109935615
Kurtosis82.00623342
Mean9410.041956
Median Absolute Deviation (MAD)0
Skewness9.162276706
Sum656482167
Variance107.0187663
MonotonicityNot monotonic
2022-11-23T02:50:18.861883image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
940963908
67.0%
94085035
 
5.3%
9506801
 
0.8%
941011
 
< 0.1%
94119
 
< 0.1%
(Missing)25648
26.9%
ValueCountFrequency (%)
94085035
 
5.3%
940963908
67.0%
941011
 
< 0.1%
94119
 
< 0.1%
9506801
 
0.8%
ValueCountFrequency (%)
9506801
 
0.8%
94119
 
< 0.1%
941011
 
< 0.1%
940963908
67.0%
94085035
 
5.3%

ADATE_23
Real number (ℝ≥0)

MISSING
SKEWED

Distinct3
Distinct (%)< 0.1%
Missing56270
Missing (%)59.0%
Infinite0
Infinite (%)0.0%
Mean9406.940397
Minimum9312
Maximum9407
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size745.5 KiB
2022-11-23T02:50:18.908306image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

Quantile statistics

Minimum9312
5-th percentile9407
Q19407
median9407
Q39407
95-th percentile9407
Maximum9407
Range95
Interquartile range (IQR)0

Descriptive statistics

Standard deviation2.252851879
Coefficient of variation (CV)0.0002394882697
Kurtosis1770.090644
Mean9406.940397
Median Absolute Deviation (MAD)0
Skewness-42.0700119
Sum368206461
Variance5.075341587
MonotonicityNot monotonic
2022-11-23T02:50:18.953579image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram with fixed size bins (bins=3)
ValueCountFrequency (%)
940738877
40.7%
9406243
 
0.3%
931222
 
< 0.1%
(Missing)56270
59.0%
ValueCountFrequency (%)
931222
 
< 0.1%
9406243
 
0.3%
940738877
40.7%
ValueCountFrequency (%)
940738877
40.7%
9406243
 
0.3%
931222
 
< 0.1%

ADATE_24
Real number (ℝ≥0)

MISSING

Distinct2
Distinct (%)< 0.1%
Missing36973
Missing (%)38.8%
Infinite0
Infinite (%)0.0%
Mean9405.995243
Minimum9405
Maximum9406
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size745.5 KiB
2022-11-23T02:50:19.001285image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

Quantile statistics

Minimum9405
5-th percentile9406
Q19406
median9406
Q39406
95-th percentile9406
Maximum9406
Range1
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.06880805322
Coefficient of variation (CV)7.315339998 × 10-6
Kurtosis205.234672
Mean9405.995243
Median Absolute Deviation (MAD)0
Skewness-14.39540372
Sum549676956
Variance0.004734548188
MonotonicityNot monotonic
2022-11-23T02:50:19.049137image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
940658161
61.0%
9405278
 
0.3%
(Missing)36973
38.8%
ValueCountFrequency (%)
9405278
 
0.3%
940658161
61.0%
ValueCountFrequency (%)
940658161
61.0%
9405278
 
0.3%

RFA_2
Categorical

Distinct14
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size745.5 KiB
L1F
30380 
L1G
12384 
L2F
10961 
L3E
7767 
L2E
4989 
Other values (9)
28931 

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowL4E
2nd rowL2G
3rd rowL4E
4th rowL4E
5th rowL2F

Common Values

ValueCountFrequency (%)
L1F30380
31.8%
L1G12384
13.0%
L2F10961
 
11.5%
L3E7767
 
8.1%
L2E4989
 
5.2%
L4D4914
 
5.2%
L1E4911
 
5.1%
L2G4595
 
4.8%
L4E3972
 
4.2%
L3F3523
 
3.7%
Other values (4)7016
 
7.4%

RFA_3
Categorical

HIGH CARDINALITY
MISSING

Distinct70
Distinct (%)0.1%
Missing1950
Missing (%)2.0%
Memory size745.5 KiB
A1F
21950 
A1G
9184 
A2F
6283 
F1F
5973 
A1E
5119 
Other values (65)
44953 

Unique

Unique3 ?
Unique (%)< 0.1%

Sample

1st rowS4E
2nd rowA2G
3rd rowS4E
4th rowS4E
5th rowA2F

Common Values

ValueCountFrequency (%)
A1F21950
23.0%
A1G9184
 
9.6%
A2F6283
 
6.6%
F1F5973
 
6.3%
A1E5119
 
5.4%
A3E3920
 
4.1%
S2E3385
 
3.5%
A2G2747
 
2.9%
S4D2675
 
2.8%
S2F2600
 
2.7%
Other values (60)29626
31.1%

RFA_4
Categorical

HIGH CARDINALITY
MISSING

Distinct63
Distinct (%)0.1%
Missing2312
Missing (%)2.4%
Memory size745.5 KiB
A1F
21818 
A1G
9098 
A2F
6264 
F1F
5998 
A1E
5061 
Other values (58)
44861 

Unique

Unique1 ?
Unique (%)< 0.1%

Sample

1st rowS4E
2nd rowA2G
3rd rowS4E
4th rowS4E
5th rowA2F

Common Values

ValueCountFrequency (%)
A1F21818
22.9%
A1G9098
 
9.5%
A2F6264
 
6.6%
F1F5998
 
6.3%
A1E5061
 
5.3%
A3E3925
 
4.1%
S2E3344
 
3.5%
A2G2766
 
2.9%
S4D2638
 
2.8%
S2F2566
 
2.7%
Other values (53)29622
31.0%
(Missing)2312
 
2.4%

RFA_5
Categorical

MISSING

Distinct40
Distinct (%)0.1%
Missing33590
Missing (%)35.2%
Memory size745.5 KiB
A1F
11027 
A1G
8393 
A2F
6029 
A3E
3362 
S2E
3192 
Other values (35)
29819 

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowS4E
2nd rowA2G
3rd rowS4E
4th rowS4E
5th rowA2F

Common Values

ValueCountFrequency (%)
A1F11027
 
11.6%
A1G8393
 
8.8%
A2F6029
 
6.3%
A3E3362
 
3.5%
S2E3192
 
3.3%
A2G2736
 
2.9%
S4D2693
 
2.8%
S2F2548
 
2.7%
S3E2148
 
2.3%
S4E2054
 
2.2%
Other values (30)17640
18.5%
(Missing)33590
35.2%

RFA_6
Categorical

HIGH CARDINALITY
MISSING

Distinct108
Distinct (%)0.1%
Missing3557
Missing (%)3.7%
Memory size745.5 KiB
A1F
15696 
F1F
6704 
A1G
6634 
A1E
5429 
A2F
5353 
Other values (103)
52039 

Unique

Unique6 ?
Unique (%)< 0.1%

Sample

1st rowS4E
2nd rowA2G
3rd rowS4E
4th rowS4E
5th rowA1D

Common Values

ValueCountFrequency (%)
A1F15696
 
16.5%
F1F6704
 
7.0%
A1G6634
 
7.0%
A1E5429
 
5.7%
A2F5353
 
5.6%
S2E2943
 
3.1%
S4D2669
 
2.8%
F1G2449
 
2.6%
S2F2405
 
2.5%
S4E2248
 
2.4%
Other values (98)39325
41.2%
(Missing)3557
 
3.7%

RFA_7
Categorical

HIGH CARDINALITY
MISSING

Distinct105
Distinct (%)0.1%
Missing8874
Missing (%)9.3%
Memory size745.5 KiB
A1F
10954 
A1E
6602 
A1G
 
4927
A2F
 
4830
F1F
 
3926
Other values (100)
55299 

Unique

Unique6 ?
Unique (%)< 0.1%

Sample

1st rowS4E
2nd rowA1E
3rd rowS4F
4th rowS4E
5th rowI2D

Common Values

ValueCountFrequency (%)
A1F10954
 
11.5%
A1E6602
 
6.9%
A1G4927
 
5.2%
A2F4830
 
5.1%
F1F3926
 
4.1%
P1F3105
 
3.3%
S2E2416
 
2.5%
A2E2366
 
2.5%
S4D2185
 
2.3%
S2F2166
 
2.3%
Other values (95)43061
45.1%
(Missing)8874
 
9.3%

RFA_8
Categorical

HIGH CARDINALITY
MISSING

Distinct108
Distinct (%)0.1%
Missing3511
Missing (%)3.7%
Memory size745.5 KiB
A1F
11312 
A1E
6904 
A1G
 
5063
A2F
 
4961
F1F
 
3984
Other values (103)
59677 

Unique

Unique4 ?
Unique (%)< 0.1%

Sample

1st rowS4E
2nd rowA1E
3rd rowS4F
4th rowS4E
5th rowA1E

Common Values

ValueCountFrequency (%)
A1F11312
 
11.9%
A1E6904
 
7.2%
A1G5063
 
5.3%
A2F4961
 
5.2%
F1F3984
 
4.2%
P1F3714
 
3.9%
S2E2640
 
2.8%
S4D2582
 
2.7%
A2E2512
 
2.6%
S4E2418
 
2.5%
Other values (98)45811
48.0%
(Missing)3511
 
3.7%

RFA_9
Categorical

HIGH CARDINALITY
MISSING

Distinct106
Distinct (%)0.1%
Missing11245
Missing (%)11.8%
Memory size745.5 KiB
A1F
9629 
A1E
7038 
A1G
 
4259
A2F
 
4155
S2E
 
2503
Other values (101)
56583 

Unique

Unique3 ?
Unique (%)< 0.1%

Sample

1st rowS4E
2nd rowA1E
3rd rowS4F
4th rowS4E
5th rowA1E

Common Values

ValueCountFrequency (%)
A1F9629
 
10.1%
A1E7038
 
7.4%
A1G4259
 
4.5%
A2F4155
 
4.4%
S2E2503
 
2.6%
S4D2482
 
2.6%
A1D2477
 
2.6%
S4E2376
 
2.5%
A2E2264
 
2.4%
S2F2190
 
2.3%
Other values (96)44794
46.9%
(Missing)11245
 
11.8%

RFA_10
Categorical

HIGH CARDINALITY
MISSING

Distinct93
Distinct (%)0.1%
Missing32748
Missing (%)34.3%
Memory size745.5 KiB
A1F
9204 
A1E
6153 
A1G
3943 
A2F
 
3516
A2E
 
2200
Other values (88)
37648 

Unique

Unique6 ?
Unique (%)< 0.1%

Sample

1st rowS4E
2nd rowA1E
3rd rowL1D
4th rowA2F
5th rowS3E

Common Values

ValueCountFrequency (%)
A1F9204
 
9.6%
A1E6153
 
6.4%
A1G3943
 
4.1%
A2F3516
 
3.7%
A2E2200
 
2.3%
S2E2178
 
2.3%
A1D2087
 
2.2%
S2F1798
 
1.9%
A2G1657
 
1.7%
S4E1627
 
1.7%
Other values (83)28301
29.7%
(Missing)32748
34.3%

RFA_11
Categorical

HIGH CARDINALITY
MISSING

Distinct100
Distinct (%)0.1%
Missing10422
Missing (%)10.9%
Memory size745.5 KiB
A1F
9745 
A1E
7029 
A1G
 
4144
A2F
 
3735
S2E
 
2607
Other values (95)
57730 

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowS4E
2nd rowA1E
3rd rowS4F
4th rowS4E
5th rowA1E

Common Values

ValueCountFrequency (%)
A1F9745
 
10.2%
A1E7029
 
7.4%
A1G4144
 
4.3%
A2F3735
 
3.9%
S2E2607
 
2.7%
A1D2575
 
2.7%
A2E2530
 
2.7%
S4D2317
 
2.4%
S4E2250
 
2.4%
S2F2008
 
2.1%
Other values (90)46050
48.3%
(Missing)10422
 
10.9%

RFA_12
Categorical

HIGH CARDINALITY
MISSING

Distinct106
Distinct (%)0.1%
Missing8923
Missing (%)9.4%
Memory size745.5 KiB
A1F
9857 
A1E
7121 
A1G
 
4199
A2F
 
3783
A1D
 
2621
Other values (101)
58908 

Unique

Unique2 ?
Unique (%)< 0.1%

Sample

1st rowS4E
2nd rowA1E
3rd rowS4F
4th rowS4E
5th rowA1E

Common Values

ValueCountFrequency (%)
A1F9857
 
10.3%
A1E7121
 
7.5%
A1G4199
 
4.4%
A2F3783
 
4.0%
A1D2621
 
2.7%
S2E2616
 
2.7%
A2E2564
 
2.7%
P1F2447
 
2.6%
S4D2361
 
2.5%
S4E2271
 
2.4%
Other values (96)46649
48.9%
(Missing)8923
 
9.4%

RFA_13
Categorical

HIGH CARDINALITY
MISSING

Distinct86
Distinct (%)0.2%
Missing40219
Missing (%)42.2%
Memory size745.5 KiB
A1F
9066 
A1G
3954 
A2F
 
3281
A2E
 
2695
S2E
 
2675
Other values (81)
33522 

Unique

Unique7 ?
Unique (%)< 0.1%

Sample

1st rowS4E
2nd rowS4F
3rd rowS4E
4th rowL1D
5th rowA2F

Common Values

ValueCountFrequency (%)
A1F9066
 
9.5%
A1G3954
 
4.1%
A2F3281
 
3.4%
A2E2695
 
2.8%
S2E2675
 
2.8%
S4E2374
 
2.5%
S4D2322
 
2.4%
S2F1902
 
2.0%
F1E1701
 
1.8%
S3E1674
 
1.8%
Other values (76)23549
24.7%
(Missing)40219
42.2%

RFA_14
Categorical

HIGH CARDINALITY
MISSING

Distinct94
Distinct (%)0.1%
Missing18867
Missing (%)19.8%
Memory size745.5 KiB
A1F
8053 
A1E
7766 
A1G
 
3740
A1D
 
3577
A2F
 
3001
Other values (89)
50408 

Unique

Unique2 ?
Unique (%)< 0.1%

Sample

1st rowS4E
2nd rowS4F
3rd rowS4E
4th rowL3D
5th rowA2F

Common Values

ValueCountFrequency (%)
A1F8053
 
8.4%
A1E7766
 
8.1%
A1G3740
 
3.9%
A1D3577
 
3.7%
A2F3001
 
3.1%
A2E2693
 
2.8%
S2E2597
 
2.7%
F1E2227
 
2.3%
L1F2123
 
2.2%
F1D1904
 
2.0%
Other values (84)38864
40.7%
(Missing)18867
19.8%

RFA_15
Categorical

MISSING

Distinct33
Distinct (%)0.1%
Missing65477
Missing (%)68.6%
Memory size745.5 KiB
A1G
3461 
A2F
3084 
S4E
2016 
S4D
1965 
S2F
 
1729
Other values (28)
17680 

Unique

Unique1 ?
Unique (%)< 0.1%

Sample

1st rowS4E
2nd rowS4F
3rd rowS4E
4th rowA2F
5th rowS2G

Common Values

ValueCountFrequency (%)
A1G3461
 
3.6%
A2F3084
 
3.2%
S4E2016
 
2.1%
S4D1965
 
2.1%
S2F1729
 
1.8%
S3E1631
 
1.7%
A3E1370
 
1.4%
A2G1361
 
1.4%
S4F1349
 
1.4%
A3F1249
 
1.3%
Other values (23)10720
 
11.2%
(Missing)65477
68.6%

RFA_16
Categorical

HIGH CARDINALITY
MISSING

Distinct122
Distinct (%)0.2%
Missing20417
Missing (%)21.4%
Memory size745.5 KiB
A1E
7080 
A1F
6445 
A1D
 
3322
A1G
 
3053
A2F
 
2669
Other values (117)
52426 

Unique

Unique4 ?
Unique (%)< 0.1%

Sample

1st rowS4E
2nd rowL1E
3rd rowS4F
4th rowS4E
5th rowL3D

Common Values

ValueCountFrequency (%)
A1E7080
 
7.4%
A1F6445
 
6.8%
A1D3322
 
3.5%
A1G3053
 
3.2%
A2F2669
 
2.8%
A2E2418
 
2.5%
S2E2414
 
2.5%
S4E2218
 
2.3%
S4D2126
 
2.2%
F1D1953
 
2.0%
Other values (112)41297
43.3%
(Missing)20417
21.4%

RFA_17
Categorical

HIGH CARDINALITY
MISSING

Distinct117
Distinct (%)0.2%
Missing27650
Missing (%)29.0%
Memory size745.5 KiB
A1E
6773 
A1F
5328 
A1D
 
3645
A1G
 
2305
A2E
 
2217
Other values (112)
47494 

Unique

Unique4 ?
Unique (%)< 0.1%

Sample

1st rowS4E
2nd rowS2D
3rd rowA2D
4th rowN2E
5th rowS2E

Common Values

ValueCountFrequency (%)
A1E6773
 
7.1%
A1F5328
 
5.6%
A1D3645
 
3.8%
A1G2305
 
2.4%
A2E2217
 
2.3%
S2E2066
 
2.2%
A2F2011
 
2.1%
S4E1939
 
2.0%
S4D1860
 
1.9%
P1E1614
 
1.7%
Other values (107)38004
39.8%
(Missing)27650
29.0%

RFA_18
Categorical

HIGH CARDINALITY
MISSING

Distinct121
Distinct (%)0.2%
Missing21263
Missing (%)22.3%
Memory size745.5 KiB
A1E
7186 
A1F
5510 
A1D
 
3941
A1G
 
2408
A2E
 
2385
Other values (116)
52719 

Unique

Unique5 ?
Unique (%)< 0.1%

Sample

1st rowS4E
2nd rowS4D
3rd rowS2D
4th rowA2D
5th rowN2E

Common Values

ValueCountFrequency (%)
A1E7186
 
7.5%
A1F5510
 
5.8%
A1D3941
 
4.1%
A1G2408
 
2.5%
A2E2385
 
2.5%
S4D2290
 
2.4%
S4E2253
 
2.4%
S2E2218
 
2.3%
A2F2128
 
2.2%
P1E1973
 
2.1%
Other values (111)41857
43.9%
(Missing)21263
22.3%

RFA_19
Categorical

HIGH CARDINALITY
MISSING

Distinct107
Distinct (%)0.2%
Missing24492
Missing (%)25.7%
Memory size745.5 KiB
A1E
7248 
A1F
5347 
A1D
 
4156
A1G
 
2330
S2E
 
2327
Other values (102)
49512 

Unique

Unique2 ?
Unique (%)< 0.1%

Sample

1st rowS4E
2nd rowN1E
3rd rowS4D
4th rowA1D
5th rowA3D

Common Values

ValueCountFrequency (%)
A1E7248
 
7.6%
A1F5347
 
5.6%
A1D4156
 
4.4%
A1G2330
 
2.4%
S2E2327
 
2.4%
S4D2275
 
2.4%
A2E2153
 
2.3%
S4E2113
 
2.2%
N1D1948
 
2.0%
A2F1913
 
2.0%
Other values (97)39110
41.0%
(Missing)24492
25.7%

RFA_20
Categorical

HIGH CARDINALITY
MISSING

Distinct79
Distinct (%)0.2%
Missing50200
Missing (%)52.6%
Memory size745.5 KiB
A1E
6408 
A1F
4947 
A1D
3340 
A1G
 
2193
A2E
 
1814
Other values (74)
26510 

Unique

Unique3 ?
Unique (%)< 0.1%

Sample

1st rowS4E
2nd rowN1E
3rd rowA1D
4th rowA3D
5th rowN2E

Common Values

ValueCountFrequency (%)
A1E6408
 
6.7%
A1F4947
 
5.2%
A1D3340
 
3.5%
A1G2193
 
2.3%
A2E1814
 
1.9%
S2E1810
 
1.9%
A2F1494
 
1.6%
S4E1175
 
1.2%
S4D1153
 
1.2%
F1D1138
 
1.2%
Other values (69)19740
 
20.7%
(Missing)50200
52.6%

RFA_21
Categorical

HIGH CARDINALITY
MISSING

Distinct101
Distinct (%)0.2%
Missing35212
Missing (%)36.9%
Memory size745.5 KiB
A1E
6729 
A1F
5127 
A1D
 
3607
A1G
 
2245
A2E
 
1926
Other values (96)
40566 

Unique

Unique1 ?
Unique (%)< 0.1%

Sample

1st rowS4E
2nd rowN1E
3rd rowA1D
4th rowA3D
5th rowN2E

Common Values

ValueCountFrequency (%)
A1E6729
 
7.1%
A1F5127
 
5.4%
A1D3607
 
3.8%
A1G2245
 
2.4%
A2E1926
 
2.0%
S2E1915
 
2.0%
A2F1576
 
1.7%
L1E1448
 
1.5%
S4D1389
 
1.5%
S4E1345
 
1.4%
Other values (91)32893
34.5%
(Missing)35212
36.9%

RFA_22
Categorical

HIGH CARDINALITY
MISSING

Distinct116
Distinct (%)0.2%
Missing25648
Missing (%)26.9%
Memory size745.5 KiB
A1E
7233 
A1F
5324 
A1D
 
4113
A1G
 
2318
S2E
 
2202
Other values (111)
48574 

Unique

Unique4 ?
Unique (%)< 0.1%

Sample

1st rowS4E
2nd rowN1E
3rd rowS4D
4th rowA1D
5th rowI4E

Common Values

ValueCountFrequency (%)
A1E7233
 
7.6%
A1F5324
 
5.6%
A1D4113
 
4.3%
A1G2318
 
2.4%
S2E2202
 
2.3%
A2E2141
 
2.2%
S4D2094
 
2.2%
S4E1875
 
2.0%
A2F1705
 
1.8%
L1E1685
 
1.8%
Other values (106)39074
41.0%
(Missing)25648
26.9%

RFA_23
Categorical

HIGH CARDINALITY
MISSING

Distinct86
Distinct (%)0.2%
Missing56274
Missing (%)59.0%
Memory size745.5 KiB
A1F
4607 
A1E
4348 
A1G
2401 
S2E
 
2243
S4D
 
2146
Other values (81)
23393 

Unique

Unique14 ?
Unique (%)< 0.1%

Sample

1st rowS4E
2nd rowS4D
3rd rowA3D
4th rowA3E
5th rowA1F

Common Values

ValueCountFrequency (%)
A1F4607
 
4.8%
A1E4348
 
4.6%
A1G2401
 
2.5%
S2E2243
 
2.4%
S4D2146
 
2.2%
A2E2124
 
2.2%
S4E2031
 
2.1%
A2F1640
 
1.7%
S3E1445
 
1.5%
S2D1383
 
1.4%
Other values (76)14770
 
15.5%
(Missing)56274
59.0%

RFA_24
Categorical

HIGH CARDINALITY
MISSING

Distinct96
Distinct (%)0.2%
Missing36973
Missing (%)38.8%
Memory size745.5 KiB
A1E
7227 
A1F
5032 
A1D
4563 
F1D
 
3315
A1G
 
2187
Other values (91)
36115 

Unique

Unique2 ?
Unique (%)< 0.1%

Sample

1st rowS4E
2nd rowF1E
3rd rowS3D
4th rowA3D
5th rowF1E

Common Values

ValueCountFrequency (%)
A1E7227
 
7.6%
A1F5032
 
5.3%
A1D4563
 
4.8%
F1D3315
 
3.5%
A1G2187
 
2.3%
A2E2157
 
2.3%
S2E2113
 
2.2%
S4D1837
 
1.9%
S4E1659
 
1.7%
A2F1625
 
1.7%
Other values (86)26724
28.0%
(Missing)36973
38.8%

CARDPROM
Real number (ℝ≥0)

Distinct59
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean18.43514443
Minimum1
Maximum61
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size745.5 KiB
2022-11-23T02:50:19.200311image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile5
Q111
median18
Q325
95-th percentile32
Maximum61
Range60
Interquartile range (IQR)14

Descriptive statistics

Standard deviation8.583794136
Coefficient of variation (CV)0.4656212036
Kurtosis-0.9301725084
Mean18.43514443
Median Absolute Deviation (MAD)7
Skewness0.1497821067
Sum1758934
Variance73.68152177
MonotonicityNot monotonic
2022-11-23T02:50:19.269554image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
64961
 
5.2%
154085
 
4.3%
54084
 
4.3%
113835
 
4.0%
93745
 
3.9%
103563
 
3.7%
233480
 
3.6%
223431
 
3.6%
243427
 
3.6%
203400
 
3.6%
Other values (49)57401
60.2%
ValueCountFrequency (%)
12
 
< 0.1%
217
 
< 0.1%
3230
 
0.2%
4573
 
0.6%
54084
4.3%
ValueCountFrequency (%)
611
 
< 0.1%
581
 
< 0.1%
571
 
< 0.1%
562
< 0.1%
553
< 0.1%

MAXADATE
Real number (ℝ≥0)

Distinct5
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean9701.631409
Minimum9608
Maximum9702
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size745.5 KiB
2022-11-23T02:50:19.328932image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

Quantile statistics

Minimum9608
5-th percentile9702
Q19702
median9702
Q39702
95-th percentile9702
Maximum9702
Range94
Interquartile range (IQR)0

Descriptive statistics

Standard deviation5.752178906
Coefficient of variation (CV)0.0005929084154
Kurtosis239.6813788
Mean9701.631409
Median Absolute Deviation (MAD)0
Skewness-15.54576164
Sum925652056
Variance33.08756216
MonotonicityNot monotonic
2022-11-23T02:50:19.372902image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
970295014
99.6%
9612333
 
0.3%
961156
 
0.1%
97018
 
< 0.1%
96081
 
< 0.1%
ValueCountFrequency (%)
96081
 
< 0.1%
961156
 
0.1%
9612333
 
0.3%
97018
 
< 0.1%
970295014
99.6%
ValueCountFrequency (%)
970295014
99.6%
97018
 
< 0.1%
9612333
 
0.3%
961156
 
0.1%
96081
 
< 0.1%

NUMPROM
Real number (ℝ≥0)

Distinct165
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean46.97334717
Minimum4
Maximum195
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size745.5 KiB
2022-11-23T02:50:19.433599image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

Quantile statistics

Minimum4
5-th percentile14
Q127
median47
Q364
95-th percentile82
Maximum195
Range191
Interquartile range (IQR)37

Descriptive statistics

Standard deviation22.97037815
Coefficient of variation (CV)0.4890087579
Kurtosis0.01847322777
Mean46.97334717
Median Absolute Deviation (MAD)18
Skewness0.4375712893
Sum4481821
Variance527.6382725
MonotonicityNot monotonic
2022-11-23T02:50:19.507667image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
132718
 
2.8%
142513
 
2.6%
151920
 
2.0%
241824
 
1.9%
251756
 
1.8%
221591
 
1.7%
231526
 
1.6%
571524
 
1.6%
551487
 
1.6%
601478
 
1.5%
Other values (155)77075
80.8%
ValueCountFrequency (%)
46
 
< 0.1%
533
< 0.1%
615
 
< 0.1%
772
0.1%
851
0.1%
ValueCountFrequency (%)
1951
< 0.1%
1941
< 0.1%
1792
< 0.1%
1771
< 0.1%
1742
< 0.1%

CARDPM12
Real number (ℝ≥0)

Distinct19
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean5.348939337
Minimum0
Maximum19
Zeros21
Zeros (%)< 0.1%
Negative0
Negative (%)0.0%
Memory size745.5 KiB
2022-11-23T02:50:19.575271image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile3
Q15
median6
Q36
95-th percentile6
Maximum19
Range19
Interquartile range (IQR)1

Descriptive statistics

Standard deviation1.219785337
Coefficient of variation (CV)0.2280424698
Kurtosis5.084637087
Mean5.348939337
Median Absolute Deviation (MAD)0
Skewness0.3122560036
Sum510353
Variance1.487876269
MonotonicityNot monotonic
2022-11-23T02:50:19.627718image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram with fixed size bins (bins=19)
ValueCountFrequency (%)
650685
53.1%
518684
 
19.6%
416732
 
17.5%
33821
 
4.0%
71478
 
1.5%
21478
 
1.5%
8903
 
0.9%
11479
 
0.5%
9457
 
0.5%
10300
 
0.3%
Other values (9)395
 
0.4%
ValueCountFrequency (%)
021
 
< 0.1%
1279
 
0.3%
21478
 
1.5%
33821
 
4.0%
416732
17.5%
ValueCountFrequency (%)
191
 
< 0.1%
177
< 0.1%
164
< 0.1%
153
< 0.1%
146
< 0.1%

NUMPRM12
Real number (ℝ≥0)

Distinct63
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean12.85693623
Minimum1
Maximum78
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size745.5 KiB
2022-11-23T02:50:19.696347image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile8
Q111
median12
Q313
95-th percentile22
Maximum78
Range77
Interquartile range (IQR)2

Descriptive statistics

Standard deviation4.544033396
Coefficient of variation (CV)0.3534304996
Kurtosis13.13759842
Mean12.85693623
Median Absolute Deviation (MAD)1
Skewness2.993891383
Sum1226706
Variance20.64823951
MonotonicityNot monotonic
2022-11-23T02:50:19.767573image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1324617
25.8%
1218440
19.3%
1110904
11.4%
1010014
10.5%
149481
 
9.9%
93857
 
4.0%
153482
 
3.6%
82807
 
2.9%
71983
 
2.1%
16995
 
1.0%
Other values (53)8832
 
9.3%
ValueCountFrequency (%)
11
 
< 0.1%
216
 
< 0.1%
333
 
< 0.1%
4412
0.4%
5417
0.4%
ValueCountFrequency (%)
781
< 0.1%
671
< 0.1%
651
< 0.1%
641
< 0.1%
601
< 0.1%

RDATE_3
Real number (ℝ≥0)

MISSING

Distinct14
Distinct (%)5.8%
Missing95170
Missing (%)99.7%
Infinite0
Infinite (%)0.0%
Mean9623.615702
Minimum9605
Maximum9806
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size745.5 KiB
2022-11-23T02:50:19.831841image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

Quantile statistics

Minimum9605
5-th percentile9606
Q19606
median9607
Q39607.75
95-th percentile9704
Maximum9806
Range201
Interquartile range (IQR)1.75

Descriptive statistics

Standard deviation44.06668185
Coefficient of variation (CV)0.004579015124
Kurtosis6.63689398
Mean9623.615702
Median Absolute Deviation (MAD)1
Skewness2.664823062
Sum2328915
Variance1941.87245
MonotonicityNot monotonic
2022-11-23T02:50:19.885957image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram with fixed size bins (bins=14)
ValueCountFrequency (%)
9606105
 
0.1%
960769
 
0.1%
970421
 
< 0.1%
960814
 
< 0.1%
96057
 
< 0.1%
96097
 
< 0.1%
97034
 
< 0.1%
96103
 
< 0.1%
97053
 
< 0.1%
98062
 
< 0.1%
Other values (4)7
 
< 0.1%
(Missing)95170
99.7%
ValueCountFrequency (%)
96057
 
< 0.1%
9606105
0.1%
960769
0.1%
960814
 
< 0.1%
96097
 
< 0.1%
ValueCountFrequency (%)
98062
< 0.1%
98042
< 0.1%
98031
 
< 0.1%
98022
< 0.1%
97053
< 0.1%

RDATE_4
Real number (ℝ≥0)

MISSING

Distinct21
Distinct (%)7.5%
Missing95131
Missing (%)99.7%
Infinite0
Infinite (%)0.0%
Mean9609.743772
Minimum9510
Maximum9804
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size745.5 KiB
2022-11-23T02:50:19.945826image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

Quantile statistics

Minimum9510
5-th percentile9512
Q19604
median9605
Q39607
95-th percentile9704
Maximum9804
Range294
Interquartile range (IQR)3

Descriptive statistics

Standard deviation46.94835885
Coefficient of variation (CV)0.004885495385
Kurtosis5.170177625
Mean9609.743772
Median Absolute Deviation (MAD)2
Skewness1.214590441
Sum2700338
Variance2204.148399
MonotonicityNot monotonic
2022-11-23T02:50:20.000709image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram with fixed size bins (bins=21)
ValueCountFrequency (%)
960586
 
0.1%
960426
 
< 0.1%
960622
 
< 0.1%
960116
 
< 0.1%
960316
 
< 0.1%
970415
 
< 0.1%
960215
 
< 0.1%
960714
 
< 0.1%
960913
 
< 0.1%
961011
 
< 0.1%
Other values (11)47
 
< 0.1%
(Missing)95131
99.7%
ValueCountFrequency (%)
95103
 
< 0.1%
95119
< 0.1%
951210
< 0.1%
960116
< 0.1%
960215
< 0.1%
ValueCountFrequency (%)
98042
 
< 0.1%
98032
 
< 0.1%
98021
 
< 0.1%
970415
< 0.1%
97037
< 0.1%

RDATE_5
Real number (ℝ≥0)

MISSING

Distinct5
Distinct (%)55.6%
Missing95403
Missing (%)> 99.9%
Infinite0
Infinite (%)0.0%
Mean9659.555556
Minimum9604
Maximum9803
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size745.5 KiB
2022-11-23T02:50:20.055211image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

Quantile statistics

Minimum9604
5-th percentile9604
Q19604
median9607
Q39703
95-th percentile9763
Maximum9803
Range199
Interquartile range (IQR)99

Descriptive statistics

Standard deviation71.79504006
Coefficient of variation (CV)0.007432540726
Kurtosis0.2589948567
Mean9659.555556
Median Absolute Deviation (MAD)3
Skewness1.031683245
Sum86936
Variance5154.527778
MonotonicityNot monotonic
2022-11-23T02:50:20.102433image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
96043
 
< 0.1%
97033
 
< 0.1%
96071
 
< 0.1%
98031
 
< 0.1%
96051
 
< 0.1%
(Missing)95403
> 99.9%
ValueCountFrequency (%)
96043
< 0.1%
96051
 
< 0.1%
96071
 
< 0.1%
97033
< 0.1%
98031
 
< 0.1%
ValueCountFrequency (%)
98031
 
< 0.1%
97033
< 0.1%
96071
 
< 0.1%
96051
 
< 0.1%
96043
< 0.1%

RDATE_6
Real number (ℝ≥0)

MISSING

Distinct17
Distinct (%)2.2%
Missing94636
Missing (%)99.2%
Infinite0
Infinite (%)0.0%
Mean9592.293814
Minimum9510
Maximum9805
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size745.5 KiB
2022-11-23T02:50:20.157095image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

Quantile statistics

Minimum9510
5-th percentile9512
Q19603
median9603
Q39603
95-th percentile9604
Maximum9805
Range295
Interquartile range (IQR)0

Descriptive statistics

Standard deviation35.37232398
Coefficient of variation (CV)0.003687577201
Kurtosis7.633423506
Mean9592.293814
Median Absolute Deviation (MAD)0
Skewness-0.3473932227
Sum7443620
Variance1251.201304
MonotonicityNot monotonic
2022-11-23T02:50:20.208690image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram with fixed size bins (bins=17)
ValueCountFrequency (%)
9603575
 
0.6%
951273
 
0.1%
960445
 
< 0.1%
951128
 
< 0.1%
960221
 
< 0.1%
96059
 
< 0.1%
96064
 
< 0.1%
96074
 
< 0.1%
96083
 
< 0.1%
95103
 
< 0.1%
Other values (7)11
 
< 0.1%
(Missing)94636
99.2%
ValueCountFrequency (%)
95103
 
< 0.1%
951128
 
< 0.1%
951273
0.1%
96013
 
< 0.1%
960221
 
< 0.1%
ValueCountFrequency (%)
98051
 
< 0.1%
98041
 
< 0.1%
98031
 
< 0.1%
98021
 
< 0.1%
97033
< 0.1%

RDATE_7
Real number (ℝ≥0)

MISSING
SKEWED

Distinct9
Distinct (%)0.1%
Missing86517
Missing (%)90.7%
Infinite0
Infinite (%)0.0%
Mean9602.721641
Minimum9512
Maximum9610
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size745.5 KiB
2022-11-23T02:50:20.262178image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

Quantile statistics

Minimum9512
5-th percentile9602
Q19602
median9603
Q39603
95-th percentile9603
Maximum9610
Range98
Interquartile range (IQR)1

Descriptive statistics

Standard deviation1.071996934
Coefficient of variation (CV)0.0001116346984
Kurtosis5768.891544
Mean9602.721641
Median Absolute Deviation (MAD)0
Skewness-68.14664712
Sum85416209
Variance1.149177427
MonotonicityNot monotonic
2022-11-23T02:50:20.386223image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram with fixed size bins (bins=9)
ValueCountFrequency (%)
96036494
 
6.8%
96022359
 
2.5%
960129
 
< 0.1%
96047
 
< 0.1%
96102
 
< 0.1%
95121
 
< 0.1%
96061
 
< 0.1%
96051
 
< 0.1%
96091
 
< 0.1%
(Missing)86517
90.7%
ValueCountFrequency (%)
95121
 
< 0.1%
960129
 
< 0.1%
96022359
 
2.5%
96036494
6.8%
96047
 
< 0.1%
ValueCountFrequency (%)
96102
 
< 0.1%
96091
 
< 0.1%
96061
 
< 0.1%
96051
 
< 0.1%
96047
< 0.1%

RDATE_8
Real number (ℝ≥0)

MISSING

Distinct14
Distinct (%)0.1%
Missing73940
Missing (%)77.5%
Infinite0
Infinite (%)0.0%
Mean9601.367083
Minimum9511
Maximum9806
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size745.5 KiB
2022-11-23T02:50:20.435080image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

Quantile statistics

Minimum9511
5-th percentile9601
Q19601
median9602
Q39602
95-th percentile9603
Maximum9806
Range295
Interquartile range (IQR)1

Descriptive statistics

Standard deviation6.143262919
Coefficient of variation (CV)0.0006398321058
Kurtosis433.8585547
Mean9601.367083
Median Absolute Deviation (MAD)1
Skewness-2.104819425
Sum206160554
Variance37.73967929
MonotonicityNot monotonic
2022-11-23T02:50:20.486026image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram with fixed size bins (bins=14)
ValueCountFrequency (%)
960110209
 
10.7%
96029000
 
9.4%
96032155
 
2.3%
951273
 
0.1%
96058
 
< 0.1%
96048
 
< 0.1%
96065
 
< 0.1%
96075
 
< 0.1%
98063
 
< 0.1%
96112
 
< 0.1%
Other values (4)4
 
< 0.1%
(Missing)73940
77.5%
ValueCountFrequency (%)
95111
 
< 0.1%
951273
 
0.1%
960110209
10.7%
96029000
9.4%
96032155
 
2.3%
ValueCountFrequency (%)
98063
< 0.1%
98051
 
< 0.1%
98031
 
< 0.1%
96112
< 0.1%
96081
 
< 0.1%

RDATE_9
Real number (ℝ≥0)

MISSING

Distinct10
Distinct (%)0.1%
Missing78678
Missing (%)82.5%
Infinite0
Infinite (%)0.0%
Mean9524.157404
Minimum9509
Maximum9609
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size745.5 KiB
2022-11-23T02:50:20.540288image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

Quantile statistics

Minimum9509
5-th percentile9511
Q19512
median9512
Q39512
95-th percentile9601
Maximum9609
Range100
Interquartile range (IQR)0

Descriptive statistics

Standard deviation30.81624624
Coefficient of variation (CV)0.003235587668
Kurtosis2.438653943
Mean9524.157404
Median Absolute Deviation (MAD)0
Skewness2.106137016
Sum159377250
Variance949.6410325
MonotonicityNot monotonic
2022-11-23T02:50:20.589114image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%)
951213290
 
13.9%
96011670
 
1.8%
9510676
 
0.7%
9602437
 
0.5%
9511379
 
0.4%
9603189
 
0.2%
950990
 
0.1%
96091
 
< 0.1%
96071
 
< 0.1%
96041
 
< 0.1%
(Missing)78678
82.5%
ValueCountFrequency (%)
950990
 
0.1%
9510676
 
0.7%
9511379
 
0.4%
951213290
13.9%
96011670
 
1.8%
ValueCountFrequency (%)
96091
 
< 0.1%
96071
 
< 0.1%
96041
 
< 0.1%
9603189
0.2%
9602437
0.5%

RDATE_10
Real number (ℝ≥0)

MISSING

Distinct8
Distinct (%)0.1%
Missing84951
Missing (%)89.0%
Infinite0
Infinite (%)0.0%
Mean9520.160979
Minimum9510
Maximum9806
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size745.5 KiB
2022-11-23T02:50:20.638546image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

Quantile statistics

Minimum9510
5-th percentile9511
Q19511
median9511
Q39512
95-th percentile9601
Maximum9806
Range296
Interquartile range (IQR)1

Descriptive statistics

Standard deviation26.97775252
Coefficient of variation (CV)0.002833749616
Kurtosis8.519915854
Mean9520.160979
Median Absolute Deviation (MAD)0
Skewness2.937906184
Sum99590404
Variance727.7991311
MonotonicityNot monotonic
2022-11-23T02:50:20.683670image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram with fixed size bins (bins=8)
ValueCountFrequency (%)
95115471
 
5.7%
95123980
 
4.2%
9601682
 
0.7%
9602217
 
0.2%
9603107
 
0.1%
98052
 
< 0.1%
98061
 
< 0.1%
95101
 
< 0.1%
(Missing)84951
89.0%
ValueCountFrequency (%)
95101
 
< 0.1%
95115471
5.7%
95123980
4.2%
9601682
 
0.7%
9602217
 
0.2%
ValueCountFrequency (%)
98061
 
< 0.1%
98052
 
< 0.1%
9603107
 
0.1%
9602217
 
0.2%
9601682
0.7%

RDATE_11
Real number (ℝ≥0)

MISSING

Distinct12
Distinct (%)0.1%
Missing80672
Missing (%)84.6%
Infinite0
Infinite (%)0.0%
Mean9516.614383
Minimum9509
Maximum9805
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size745.5 KiB
2022-11-23T02:50:20.734617image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

Quantile statistics

Minimum9509
5-th percentile9510
Q19510
median9511
Q39511
95-th percentile9601
Maximum9805
Range296
Interquartile range (IQR)1

Descriptive statistics

Standard deviation22.24183239
Coefficient of variation (CV)0.0023371581
Kurtosis12.39292448
Mean9516.614383
Median Absolute Deviation (MAD)1
Skewness3.659484956
Sum140274896
Variance494.6991079
MonotonicityNot monotonic
2022-11-23T02:50:20.784227image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram with fixed size bins (bins=12)
ValueCountFrequency (%)
95117010
 
7.3%
95104465
 
4.7%
95122299
 
2.4%
9601636
 
0.7%
9602167
 
0.2%
9603128
 
0.1%
950929
 
< 0.1%
96042
 
< 0.1%
96051
 
< 0.1%
96081
 
< 0.1%
Other values (2)2
 
< 0.1%
(Missing)80672
84.6%
ValueCountFrequency (%)
950929
 
< 0.1%
95104465
4.7%
95117010
7.3%
95122299
 
2.4%
9601636
 
0.7%
ValueCountFrequency (%)
98051
< 0.1%
96081
< 0.1%
96071
< 0.1%
96051
< 0.1%
96042
< 0.1%

RDATE_12
Real number (ℝ≥0)

MISSING

Distinct10
Distinct (%)< 0.1%
Missing69712
Missing (%)73.1%
Infinite0
Infinite (%)0.0%
Mean9513.502412
Minimum9509
Maximum9806
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size745.5 KiB
2022-11-23T02:50:20.837506image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

Quantile statistics

Minimum9509
5-th percentile9509
Q19509
median9509
Q39510
95-th percentile9512
Maximum9806
Range297
Interquartile range (IQR)1

Descriptive statistics

Standard deviation18.22837093
Coefficient of variation (CV)0.001916052589
Kurtosis21.58607353
Mean9513.502412
Median Absolute Deviation (MAD)0
Skewness4.714332368
Sum244497012
Variance332.2735068
MonotonicityNot monotonic
2022-11-23T02:50:20.884701image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%)
950913496
 
14.1%
95106356
 
6.7%
95122754
 
2.9%
95112046
 
2.1%
9601768
 
0.8%
9602185
 
0.2%
960392
 
0.1%
96091
 
< 0.1%
96051
 
< 0.1%
98061
 
< 0.1%
(Missing)69712
73.1%
ValueCountFrequency (%)
950913496
14.1%
95106356
6.7%
95112046
 
2.1%
95122754
 
2.9%
9601768
 
0.8%
ValueCountFrequency (%)
98061
 
< 0.1%
96091
 
< 0.1%
96051
 
< 0.1%
960392
0.1%
9602185
0.2%

RDATE_13
Real number (ℝ≥0)

MISSING

Distinct14
Distinct (%)0.1%
Missing83162
Missing (%)87.2%
Infinite0
Infinite (%)0.0%
Mean9509.094041
Minimum9502
Maximum9603
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size745.5 KiB
2022-11-23T02:50:20.938659image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

Quantile statistics

Minimum9502
5-th percentile9507
Q19508
median9508
Q39508
95-th percentile9510
Maximum9603
Range101
Interquartile range (IQR)0

Descriptive statistics

Standard deviation9.96472538
Coefficient of variation (CV)0.001047915326
Kurtosis81.61953196
Mean9509.094041
Median Absolute Deviation (MAD)0
Skewness9.099294387
Sum116486402
Variance99.2957519
MonotonicityNot monotonic
2022-11-23T02:50:20.991092image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram with fixed size bins (bins=14)
ValueCountFrequency (%)
95087396
 
7.8%
95072584
 
2.7%
95091343
 
1.4%
9510399
 
0.4%
9511180
 
0.2%
9512150
 
0.2%
960182
 
0.1%
960336
 
< 0.1%
950228
 
< 0.1%
950326
 
< 0.1%
Other values (4)26
 
< 0.1%
(Missing)83162
87.2%
ValueCountFrequency (%)
950228
< 0.1%
950326
< 0.1%
95043
 
< 0.1%
95051
 
< 0.1%
95061
 
< 0.1%
ValueCountFrequency (%)
960336
 
< 0.1%
960221
 
< 0.1%
960182
0.1%
9512150
0.2%
9511180
0.2%

RDATE_14
Real number (ℝ≥0)

MISSING

Distinct12
Distinct (%)0.1%
Missing72095
Missing (%)75.6%
Infinite0
Infinite (%)0.0%
Mean9507.685894
Minimum9406
Maximum9603
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size745.5 KiB
2022-11-23T02:50:21.043907image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

Quantile statistics

Minimum9406
5-th percentile9506
Q19506
median9506
Q39507
95-th percentile9509
Maximum9603
Range197
Interquartile range (IQR)1

Descriptive statistics

Standard deviation9.772417803
Coefficient of variation (CV)0.00102784399
Kurtosis87.39354982
Mean9507.685894
Median Absolute Deviation (MAD)0
Skewness9.295009734
Sum221690712
Variance95.50014971
MonotonicityNot monotonic
2022-11-23T02:50:21.094768image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram with fixed size bins (bins=12)
ValueCountFrequency (%)
950613533
 
14.2%
95076360
 
6.7%
95081482
 
1.6%
9509777
 
0.8%
9510380
 
0.4%
9512273
 
0.3%
9511238
 
0.2%
9601136
 
0.1%
960258
 
0.1%
960351
 
0.1%
Other values (2)29
 
< 0.1%
(Missing)72095
75.6%
ValueCountFrequency (%)
94061
 
< 0.1%
950528
 
< 0.1%
950613533
14.2%
95076360
6.7%
95081482
 
1.6%
ValueCountFrequency (%)
960351
 
0.1%
960258
 
0.1%
9601136
0.1%
9512273
0.3%
9511238
0.2%

RDATE_15
Real number (ℝ≥0)

MISSING

Distinct16
Distinct (%)0.2%
Missing88150
Missing (%)92.4%
Infinite0
Infinite (%)0.0%
Mean9506.238089
Minimum9412
Maximum9603
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size745.5 KiB
2022-11-23T02:50:21.150756image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

Quantile statistics

Minimum9412
5-th percentile9505
Q19505
median9505
Q39506
95-th percentile9509
Maximum9603
Range191
Interquartile range (IQR)1

Descriptive statistics

Standard deviation8.695077455
Coefficient of variation (CV)0.0009146707008
Kurtosis113.8669398
Mean9506.238089
Median Absolute Deviation (MAD)0
Skewness8.916326953
Sum69034301
Variance75.60437194
MonotonicityNot monotonic
2022-11-23T02:50:21.203317image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram with fixed size bins (bins=16)
ValueCountFrequency (%)
95054862
 
5.1%
95061473
 
1.5%
9507339
 
0.4%
9508149
 
0.2%
9509137
 
0.1%
951079
 
0.1%
951269
 
0.1%
951151
 
0.1%
960133
 
< 0.1%
950419
 
< 0.1%
Other values (6)51
 
0.1%
(Missing)88150
92.4%
ValueCountFrequency (%)
94125
 
< 0.1%
95015
 
< 0.1%
95027
 
< 0.1%
950313
< 0.1%
950419
< 0.1%
ValueCountFrequency (%)
96037
 
< 0.1%
960214
 
< 0.1%
960133
< 0.1%
951269
0.1%
951151
0.1%

RDATE_16
Real number (ℝ≥0)

MISSING

Distinct18
Distinct (%)0.1%
Missing68418
Missing (%)71.7%
Infinite0
Infinite (%)0.0%
Mean9505.317885
Minimum9411
Maximum9805
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size745.5 KiB
2022-11-23T02:50:21.262320image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

Quantile statistics

Minimum9411
5-th percentile9503
Q19504
median9504
Q39505
95-th percentile9508
Maximum9805
Range394
Interquartile range (IQR)1

Descriptive statistics

Standard deviation11.05050698
Coefficient of variation (CV)0.001162560486
Kurtosis88.71850162
Mean9505.317885
Median Absolute Deviation (MAD)0
Skewness5.84858647
Sum256586551
Variance122.1137045
MonotonicityNot monotonic
2022-11-23T02:50:21.317625image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram with fixed size bins (bins=18)
ValueCountFrequency (%)
950416670
 
17.5%
95055369
 
5.6%
95061615
 
1.7%
95031332
 
1.4%
9507564
 
0.6%
9508305
 
0.3%
9509272
 
0.3%
9512193
 
0.2%
9510177
 
0.2%
9601158
 
0.2%
Other values (8)339
 
0.4%
(Missing)68418
71.7%
ValueCountFrequency (%)
941125
 
< 0.1%
941245
 
< 0.1%
95019
 
< 0.1%
95023
 
< 0.1%
95031332
1.4%
ValueCountFrequency (%)
98051
 
< 0.1%
960344
 
< 0.1%
960271
 
0.1%
9601158
0.2%
9512193
0.2%

RDATE_17
Real number (ℝ≥0)

MISSING

Distinct11
Distinct (%)0.1%
Missing86011
Missing (%)90.1%
Infinite0
Infinite (%)0.0%
Mean9503.242953
Minimum9502
Maximum9512
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size745.5 KiB
2022-11-23T02:50:21.374842image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

Quantile statistics

Minimum9502
5-th percentile9502
Q19502
median9503
Q39503
95-th percentile9506
Maximum9512
Range10
Interquartile range (IQR)1

Descriptive statistics

Standard deviation1.491004789
Coefficient of variation (CV)0.0001568943145
Kurtosis11.291473
Mean9503.242953
Median Absolute Deviation (MAD)0
Skewness2.916055218
Sum89339987
Variance2.22309528
MonotonicityNot monotonic
2022-11-23T02:50:21.426188image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram with fixed size bins (bins=11)
ValueCountFrequency (%)
95034729
 
5.0%
95022536
 
2.7%
95041149
 
1.2%
9505346
 
0.4%
9506284
 
0.3%
9507107
 
0.1%
950867
 
0.1%
951258
 
0.1%
950956
 
0.1%
951046
 
< 0.1%
(Missing)86011
90.1%
ValueCountFrequency (%)
95022536
2.7%
95034729
5.0%
95041149
 
1.2%
9505346
 
0.4%
9506284
 
0.3%
ValueCountFrequency (%)
951258
0.1%
951123
 
< 0.1%
951046
< 0.1%
950956
0.1%
950867
0.1%

RDATE_18
Real number (ℝ≥0)

MISSING

Distinct14
Distinct (%)0.1%
Missing75634
Missing (%)79.3%
Infinite0
Infinite (%)0.0%
Mean9501.773385
Minimum9412
Maximum9601
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size745.5 KiB
2022-11-23T02:50:21.477728image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

Quantile statistics

Minimum9412
5-th percentile9501
Q19501
median9501
Q39502
95-th percentile9507
Maximum9601
Range189
Interquartile range (IQR)1

Descriptive statistics

Standard deviation6.331947462
Coefficient of variation (CV)0.0006663963879
Kurtosis179.9636894
Mean9501.773385
Median Absolute Deviation (MAD)0
Skewness-11.57819747
Sum187926074
Variance40.09355866
MonotonicityNot monotonic
2022-11-23T02:50:21.529356image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram with fixed size bins (bins=14)
ValueCountFrequency (%)
950110665
 
11.2%
95024803
 
5.0%
95031391
 
1.5%
9504710
 
0.7%
9507608
 
0.6%
9506484
 
0.5%
9505426
 
0.4%
9508214
 
0.2%
9509157
 
0.2%
951290
 
0.1%
Other values (4)230
 
0.2%
(Missing)75634
79.3%
ValueCountFrequency (%)
941285
 
0.1%
950110665
11.2%
95024803
5.0%
95031391
 
1.5%
9504710
 
0.7%
ValueCountFrequency (%)
96013
 
< 0.1%
951290
0.1%
951152
 
0.1%
951090
0.1%
9509157
0.2%

RDATE_19
Real number (ℝ≥0)

MISSING

Distinct13
Distinct (%)0.1%
Missing79535
Missing (%)83.4%
Infinite0
Infinite (%)0.0%
Mean9424.19311
Minimum9409
Maximum9509
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size745.5 KiB
2022-11-23T02:50:21.585576image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

Quantile statistics

Minimum9409
5-th percentile9410
Q19412
median9412
Q39412
95-th percentile9502
Maximum9509
Range100
Interquartile range (IQR)0

Descriptive statistics

Standard deviation31.00336047
Coefficient of variation (CV)0.003289762859
Kurtosis2.472140864
Mean9424.19311
Median Absolute Deviation (MAD)0
Skewness2.113299299
Sum149627914
Variance961.2083602
MonotonicityNot monotonic
2022-11-23T02:50:21.714358image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram with fixed size bins (bins=13)
ValueCountFrequency (%)
941212504
 
13.1%
95011294
 
1.4%
9410837
 
0.9%
9502378
 
0.4%
9411342
 
0.4%
9503197
 
0.2%
9504111
 
0.1%
950662
 
0.1%
950548
 
0.1%
950735
 
< 0.1%
Other values (3)69
 
0.1%
(Missing)79535
83.4%
ValueCountFrequency (%)
940920
 
< 0.1%
9410837
 
0.9%
9411342
 
0.4%
941212504
13.1%
95011294
 
1.4%
ValueCountFrequency (%)
950920
 
< 0.1%
950829
< 0.1%
950735
< 0.1%
950662
0.1%
950548
0.1%

RDATE_20
Real number (ℝ≥0)

MISSING

Distinct10
Distinct (%)0.1%
Missing87524
Missing (%)91.7%
Infinite0
Infinite (%)0.0%
Mean9421.922541
Minimum9411
Maximum9508
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size745.5 KiB
2022-11-23T02:50:21.764834image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

Quantile statistics

Minimum9411
5-th percentile9411
Q19411
median9412
Q39412
95-th percentile9502
Maximum9508
Range97
Interquartile range (IQR)1

Descriptive statistics

Standard deviation28.71883275
Coefficient of variation (CV)0.003048086272
Kurtosis3.945445944
Mean9421.922541
Median Absolute Deviation (MAD)0
Skewness2.436748102
Sum74320125
Variance824.7713544
MonotonicityNot monotonic
2022-11-23T02:50:21.813589image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%)
94124516
 
4.7%
94112476
 
2.6%
9501499
 
0.5%
9502163
 
0.2%
950377
 
0.1%
950454
 
0.1%
950544
 
< 0.1%
950624
 
< 0.1%
950719
 
< 0.1%
950816
 
< 0.1%
(Missing)87524
91.7%
ValueCountFrequency (%)
94112476
2.6%
94124516
4.7%
9501499
 
0.5%
9502163
 
0.2%
950377
 
0.1%
ValueCountFrequency (%)
950816
 
< 0.1%
950719
 
< 0.1%
950624
< 0.1%
950544
< 0.1%
950454
0.1%

RDATE_21
Real number (ℝ≥0)

MISSING

Distinct12
Distinct (%)0.1%
Missing85899
Missing (%)90.0%
Infinite0
Infinite (%)0.0%
Mean9419.215284
Minimum9409
Maximum9508
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size745.5 KiB
2022-11-23T02:50:21.864010image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

Quantile statistics

Minimum9409
5-th percentile9410
Q19411
median9411
Q39411
95-th percentile9502
Maximum9508
Range99
Interquartile range (IQR)0

Descriptive statistics

Standard deviation26.33249402
Coefficient of variation (CV)0.002795614415
Kurtosis6.08165332
Mean9419.215284
Median Absolute Deviation (MAD)0
Skewness2.840700653
Sum89604995
Variance693.4002416
MonotonicityNot monotonic
2022-11-23T02:50:21.911904image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram with fixed size bins (bins=12)
ValueCountFrequency (%)
94115006
 
5.2%
94102331
 
2.4%
94121306
 
1.4%
9502316
 
0.3%
9501306
 
0.3%
950396
 
0.1%
950459
 
0.1%
950530
 
< 0.1%
950630
 
< 0.1%
950818
 
< 0.1%
Other values (2)15
 
< 0.1%
(Missing)85899
90.0%
ValueCountFrequency (%)
94093
 
< 0.1%
94102331
2.4%
94115006
5.2%
94121306
 
1.4%
9501306
 
0.3%
ValueCountFrequency (%)
950818
 
< 0.1%
950712
 
< 0.1%
950630
< 0.1%
950530
< 0.1%
950459
0.1%

RDATE_22
Real number (ℝ≥0)

MISSING

Distinct13
Distinct (%)0.1%
Missing74539
Missing (%)78.1%
Infinite0
Infinite (%)0.0%
Mean9413.598429
Minimum9409
Maximum9510
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size745.5 KiB
2022-11-23T02:50:21.961110image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

Quantile statistics

Minimum9409
5-th percentile9409
Q19409
median9409
Q39410
95-th percentile9412
Maximum9510
Range101
Interquartile range (IQR)1

Descriptive statistics

Standard deviation18.59615501
Coefficient of variation (CV)0.001975456585
Kurtosis18.88499165
Mean9413.598429
Median Absolute Deviation (MAD)0
Skewness4.561528191
Sum196490040
Variance345.816981
MonotonicityNot monotonic
2022-11-23T02:50:22.012220image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram with fixed size bins (bins=13)
ValueCountFrequency (%)
940911195
 
11.7%
94105163
 
5.4%
94121939
 
2.0%
94111703
 
1.8%
9501386
 
0.4%
9502201
 
0.2%
950483
 
0.1%
950377
 
0.1%
950637
 
< 0.1%
950536
 
< 0.1%
Other values (3)53
 
0.1%
(Missing)74539
78.1%
ValueCountFrequency (%)
940911195
11.7%
94105163
5.4%
94111703
 
1.8%
94121939
 
2.0%
9501386
 
0.4%
ValueCountFrequency (%)
95101
 
< 0.1%
950827
< 0.1%
950725
< 0.1%
950637
< 0.1%
950536
< 0.1%

RDATE_23
Real number (ℝ≥0)

MISSING

Distinct17
Distinct (%)0.2%
Missing87553
Missing (%)91.8%
Infinite0
Infinite (%)0.0%
Mean9409.344955
Minimum9309
Maximum9507
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size745.5 KiB
2022-11-23T02:50:22.067084image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

Quantile statistics

Minimum9309
5-th percentile9407
Q19408
median9408
Q39408
95-th percentile9410
Maximum9507
Range198
Interquartile range (IQR)0

Descriptive statistics

Standard deviation11.59240228
Coefficient of variation (CV)0.001232009491
Kurtosis61.84864574
Mean9409.344955
Median Absolute Deviation (MAD)0
Skewness7.320845745
Sum73948042
Variance134.3837907
MonotonicityNot monotonic
2022-11-23T02:50:22.123208image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram with fixed size bins (bins=17)
ValueCountFrequency (%)
94084522
 
4.7%
94071867
 
2.0%
9409878
 
0.9%
9410271
 
0.3%
9411122
 
0.1%
941277
 
0.1%
950243
 
< 0.1%
950416
 
< 0.1%
950113
 
< 0.1%
950313
 
< 0.1%
Other values (7)37
 
< 0.1%
(Missing)87553
91.8%
ValueCountFrequency (%)
93092
 
< 0.1%
93102
 
< 0.1%
94034
 
< 0.1%
94041
 
< 0.1%
94071867
2.0%
ValueCountFrequency (%)
95078
< 0.1%
95067
< 0.1%
950513
< 0.1%
950416
< 0.1%
950313
< 0.1%

RDATE_24
Real number (ℝ≥0)

MISSING

Distinct14
Distinct (%)0.1%
Missing77674
Missing (%)81.4%
Infinite0
Infinite (%)0.0%
Mean9407.860751
Minimum9309
Maximum9504
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size745.5 KiB
2022-11-23T02:50:22.183210image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

Quantile statistics

Minimum9309
5-th percentile9406
Q19406
median9407
Q39407
95-th percentile9409
Maximum9504
Range195
Interquartile range (IQR)1

Descriptive statistics

Standard deviation10.84879459
Coefficient of variation (CV)0.001153162752
Kurtosis72.16348594
Mean9407.860751
Median Absolute Deviation (MAD)1
Skewness6.572103757
Sum166876634
Variance117.6963441
MonotonicityNot monotonic
2022-11-23T02:50:22.235528image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram with fixed size bins (bins=14)
ValueCountFrequency (%)
94077861
 
8.2%
94066988
 
7.3%
94081344
 
1.4%
9409653
 
0.7%
9410308
 
0.3%
9411178
 
0.2%
9412176
 
0.2%
950278
 
0.1%
950154
 
0.1%
950436
 
< 0.1%
Other values (4)62
 
0.1%
(Missing)77674
81.4%
ValueCountFrequency (%)
930912
 
< 0.1%
931012
 
< 0.1%
94052
 
< 0.1%
94066988
7.3%
94077861
8.2%
ValueCountFrequency (%)
950436
 
< 0.1%
950336
 
< 0.1%
950278
0.1%
950154
 
0.1%
9412176
0.2%

RAMNT_3
Real number (ℝ≥0)

MISSING

Distinct29
Distinct (%)12.0%
Missing95170
Missing (%)99.7%
Infinite0
Infinite (%)0.0%
Mean12.22107438
Minimum2
Maximum50
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size745.5 KiB
2022-11-23T02:50:22.295650image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

Quantile statistics

Minimum2
5-th percentile3
Q16
median10
Q315
95-th percentile25
Maximum50
Range48
Interquartile range (IQR)9

Descriptive statistics

Standard deviation9.153015176
Coefficient of variation (CV)0.7489533973
Kurtosis5.540763328
Mean12.22107438
Median Absolute Deviation (MAD)5
Skewness2.052045109
Sum2957.5
Variance83.77768681
MonotonicityNot monotonic
2022-11-23T02:50:22.355346image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram with fixed size bins (bins=29)
ValueCountFrequency (%)
1037
 
< 0.1%
531
 
< 0.1%
721
 
< 0.1%
2020
 
< 0.1%
1518
 
< 0.1%
315
 
< 0.1%
2513
 
< 0.1%
812
 
< 0.1%
129
 
< 0.1%
99
 
< 0.1%
Other values (19)57
 
0.1%
(Missing)95170
99.7%
ValueCountFrequency (%)
25
 
< 0.1%
315
< 0.1%
3.51
 
< 0.1%
46
 
< 0.1%
531
< 0.1%
ValueCountFrequency (%)
506
< 0.1%
401
 
< 0.1%
351
 
< 0.1%
302
 
< 0.1%
291
 
< 0.1%

RAMNT_4
Real number (ℝ≥0)

MISSING

Distinct32
Distinct (%)11.4%
Missing95131
Missing (%)99.7%
Infinite0
Infinite (%)0.0%
Mean14.54010676
Minimum1
Maximum100
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size745.5 KiB
2022-11-23T02:50:22.416334image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile5
Q17
median10
Q315
95-th percentile35
Maximum100
Range99
Interquartile range (IQR)8

Descriptive statistics

Standard deviation14.54809768
Coefficient of variation (CV)1.000549578
Kurtosis19.67257959
Mean14.54010676
Median Absolute Deviation (MAD)5
Skewness3.984499729
Sum4085.77
Variance211.6471461
MonotonicityNot monotonic
2022-11-23T02:50:22.476662image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram with fixed size bins (bins=32)
ValueCountFrequency (%)
1072
 
0.1%
547
 
< 0.1%
1534
 
< 0.1%
2520
 
< 0.1%
2014
 
< 0.1%
712
 
< 0.1%
118
 
< 0.1%
98
 
< 0.1%
128
 
< 0.1%
506
 
< 0.1%
Other values (22)52
 
0.1%
(Missing)95131
99.7%
ValueCountFrequency (%)
12
 
< 0.1%
23
 
< 0.1%
34
 
< 0.1%
42
 
< 0.1%
547
< 0.1%
ValueCountFrequency (%)
1005
< 0.1%
506
< 0.1%
402
 
< 0.1%
361
 
< 0.1%
351
 
< 0.1%

RAMNT_5
Real number (ℝ≥0)

MISSING

Distinct9
Distinct (%)100.0%
Missing95403
Missing (%)> 99.9%
Infinite0
Infinite (%)0.0%
Mean17
Minimum4
Maximum50
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size745.5 KiB
2022-11-23T02:50:22.527672image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

Quantile statistics

Minimum4
5-th percentile4.4
Q18
median12
Q320
95-th percentile42.4
Maximum50
Range46
Interquartile range (IQR)12

Descriptive statistics

Standard deviation14.90805152
Coefficient of variation (CV)0.8769442068
Kurtosis2.388987332
Mean17
Median Absolute Deviation (MAD)7
Skewness1.626004524
Sum153
Variance222.25
MonotonicityNot monotonic
2022-11-23T02:50:22.575400image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram with fixed size bins (bins=9)
ValueCountFrequency (%)
501
 
< 0.1%
121
 
< 0.1%
81
 
< 0.1%
311
 
< 0.1%
101
 
< 0.1%
51
 
< 0.1%
131
 
< 0.1%
41
 
< 0.1%
201
 
< 0.1%
(Missing)95403
> 99.9%
ValueCountFrequency (%)
41
< 0.1%
51
< 0.1%
81
< 0.1%
101
< 0.1%
121
< 0.1%
ValueCountFrequency (%)
501
< 0.1%
311
< 0.1%
201
< 0.1%
131
< 0.1%
121
< 0.1%

RAMNT_6
Real number (ℝ≥0)

MISSING

Distinct40
Distinct (%)5.2%
Missing94636
Missing (%)99.2%
Infinite0
Infinite (%)0.0%
Mean14.3569201
Minimum1
Maximum100
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size745.5 KiB
2022-11-23T02:50:22.634471image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile4
Q19
median12
Q319
95-th percentile30
Maximum100
Range99
Interquartile range (IQR)10

Descriptive statistics

Standard deviation10.06335002
Coefficient of variation (CV)0.7009407273
Kurtosis15.80231669
Mean14.3569201
Median Absolute Deviation (MAD)5
Skewness2.880911432
Sum11140.97
Variance101.2710136
MonotonicityNot monotonic
2022-11-23T02:50:22.701289image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram with fixed size bins (bins=40)
ValueCountFrequency (%)
10133
 
0.1%
582
 
0.1%
1582
 
0.1%
2073
 
0.1%
2549
 
0.1%
1243
 
< 0.1%
733
 
< 0.1%
1129
 
< 0.1%
1625
 
< 0.1%
325
 
< 0.1%
Other values (30)202
 
0.2%
(Missing)94636
99.2%
ValueCountFrequency (%)
13
 
< 0.1%
27
 
< 0.1%
2.861
 
< 0.1%
325
< 0.1%
47
 
< 0.1%
ValueCountFrequency (%)
1002
 
< 0.1%
602
 
< 0.1%
511
 
< 0.1%
5014
< 0.1%
471
 
< 0.1%

RAMNT_7
Real number (ℝ≥0)

MISSING

Distinct75
Distinct (%)0.8%
Missing86517
Missing (%)90.7%
Infinite0
Infinite (%)0.0%
Mean15.08843508
Minimum1
Maximum250
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size745.5 KiB
2022-11-23T02:50:22.770263image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile5
Q110
median15
Q320
95-th percentile30
Maximum250
Range249
Interquartile range (IQR)10

Descriptive statistics

Standard deviation11.03201261
Coefficient of variation (CV)0.7311568465
Kurtosis66.54135871
Mean15.08843508
Median Absolute Deviation (MAD)5
Skewness5.512256645
Sum134211.63
Variance121.7053022
MonotonicityNot monotonic
2022-11-23T02:50:22.842106image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
101698
 
1.8%
151376
 
1.4%
201341
 
1.4%
5937
 
1.0%
25637
 
0.7%
7244
 
0.3%
11239
 
0.3%
16232
 
0.2%
12224
 
0.2%
6213
 
0.2%
Other values (65)1754
 
1.8%
(Missing)86517
90.7%
ValueCountFrequency (%)
19
 
< 0.1%
242
 
< 0.1%
2.52
 
< 0.1%
3141
0.1%
4110
0.1%
ValueCountFrequency (%)
2501
 
< 0.1%
201.671
 
< 0.1%
2001
 
< 0.1%
1551
 
< 0.1%
1503
< 0.1%

RAMNT_8
Real number (ℝ≥0)

MISSING

Distinct108
Distinct (%)0.5%
Missing73940
Missing (%)77.5%
Infinite0
Infinite (%)0.0%
Mean15.67370156
Minimum1
Maximum500
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size745.5 KiB
2022-11-23T02:50:22.991644image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile5
Q110
median15
Q320
95-th percentile30
Maximum500
Range499
Interquartile range (IQR)10

Descriptive statistics

Standard deviation12.15390755
Coefficient of variation (CV)0.7754331357
Kurtosis407.87999
Mean15.67370156
Median Absolute Deviation (MAD)5
Skewness13.12462516
Sum336545.72
Variance147.7174688
MonotonicityNot monotonic
2022-11-23T02:50:23.063512image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
153575
 
3.7%
103387
 
3.5%
203119
 
3.3%
251838
 
1.9%
51716
 
1.8%
12970
 
1.0%
7753
 
0.8%
11535
 
0.6%
8496
 
0.5%
16496
 
0.5%
Other values (98)4587
 
4.8%
(Missing)73940
77.5%
ValueCountFrequency (%)
111
 
< 0.1%
1.921
 
< 0.1%
256
 
0.1%
2.51
 
< 0.1%
3259
0.3%
ValueCountFrequency (%)
5003
< 0.1%
3001
 
< 0.1%
2751
 
< 0.1%
2501
 
< 0.1%
2251
 
< 0.1%

RAMNT_9
Real number (ℝ≥0)

MISSING
SKEWED

Distinct90
Distinct (%)0.5%
Missing78678
Missing (%)82.5%
Infinite0
Infinite (%)0.0%
Mean15.10101291
Minimum1
Maximum1000
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size745.5 KiB
2022-11-23T02:50:23.136052image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile5
Q110
median14
Q320
95-th percentile28
Maximum1000
Range999
Interquartile range (IQR)10

Descriptive statistics

Standard deviation13.02038825
Coefficient of variation (CV)0.8622195301
Kurtosis2051.527986
Mean15.10101291
Median Absolute Deviation (MAD)5
Skewness30.37061203
Sum252700.35
Variance169.5305103
MonotonicityNot monotonic
2022-11-23T02:50:23.208709image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
102797
 
2.9%
152432
 
2.5%
202063
 
2.2%
51421
 
1.5%
251105
 
1.2%
12931
 
1.0%
7662
 
0.7%
17427
 
0.4%
6412
 
0.4%
16390
 
0.4%
Other values (80)4094
 
4.3%
(Missing)78678
82.5%
ValueCountFrequency (%)
115
 
< 0.1%
1.52
 
< 0.1%
253
 
0.1%
2.54
 
< 0.1%
3204
0.2%
ValueCountFrequency (%)
10001
 
< 0.1%
4501
 
< 0.1%
2501
 
< 0.1%
2003
< 0.1%
1751
 
< 0.1%

RAMNT_10
Real number (ℝ≥0)

MISSING

Distinct92
Distinct (%)0.9%
Missing84951
Missing (%)89.0%
Infinite0
Infinite (%)0.0%
Mean15.41507026
Minimum0.3
Maximum500
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size745.5 KiB
2022-11-23T02:50:23.280828image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

Quantile statistics

Minimum0.3
5-th percentile5
Q110
median14
Q320
95-th percentile30
Maximum500
Range499.7
Interquartile range (IQR)10

Descriptive statistics

Standard deviation12.35634136
Coefficient of variation (CV)0.801575416
Kurtosis285.9529227
Mean15.41507026
Median Absolute Deviation (MAD)5
Skewness10.22564214
Sum161257.05
Variance152.6791717
MonotonicityNot monotonic
2022-11-23T02:50:23.352518image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
101789
 
1.9%
151359
 
1.4%
201189
 
1.2%
5968
 
1.0%
25772
 
0.8%
12546
 
0.6%
7403
 
0.4%
17307
 
0.3%
11305
 
0.3%
6265
 
0.3%
Other values (82)2558
 
2.7%
(Missing)84951
89.0%
ValueCountFrequency (%)
0.31
 
< 0.1%
118
 
< 0.1%
1.52
 
< 0.1%
258
0.1%
2.54
 
< 0.1%
ValueCountFrequency (%)
5001
< 0.1%
3251
< 0.1%
2011
< 0.1%
2001
< 0.1%
1591
< 0.1%

RAMNT_11
Real number (ℝ≥0)

MISSING

Distinct82
Distinct (%)0.6%
Missing80672
Missing (%)84.6%
Infinite0
Infinite (%)0.0%
Mean14.56243012
Minimum1
Maximum300
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size745.5 KiB
2022-11-23T02:50:23.423708image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile5
Q19
median12
Q320
95-th percentile30
Maximum300
Range299
Interquartile range (IQR)11

Descriptive statistics

Standard deviation10.70318509
Coefficient of variation (CV)0.7349861937
Kurtosis63.17203448
Mean14.56243012
Median Absolute Deviation (MAD)5
Skewness4.888869486
Sum214650.22
Variance114.558171
MonotonicityNot monotonic
2022-11-23T02:50:23.491803image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
102700
 
2.8%
152030
 
2.1%
201894
 
2.0%
51763
 
1.8%
251084
 
1.1%
7463
 
0.5%
11451
 
0.5%
6434
 
0.5%
16432
 
0.5%
12361
 
0.4%
Other values (72)3128
 
3.3%
(Missing)80672
84.6%
ValueCountFrequency (%)
128
 
< 0.1%
1.51
 
< 0.1%
2101
 
0.1%
2.59
 
< 0.1%
3301
0.3%
ValueCountFrequency (%)
3001
 
< 0.1%
2001
 
< 0.1%
1504
< 0.1%
1401
 
< 0.1%
1022
< 0.1%

RAMNT_12
Real number (ℝ≥0)

MISSING

Distinct114
Distinct (%)0.4%
Missing69712
Missing (%)73.1%
Infinite0
Infinite (%)0.0%
Mean14.85990078
Minimum1
Maximum300
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size745.5 KiB
2022-11-23T02:50:23.564133image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile5
Q110
median13
Q320
95-th percentile29
Maximum300
Range299
Interquartile range (IQR)10

Descriptive statistics

Standard deviation10.84868012
Coefficient of variation (CV)0.7300641021
Kurtosis109.0252953
Mean14.85990078
Median Absolute Deviation (MAD)5
Skewness6.689700428
Sum381899.45
Variance117.6938603
MonotonicityNot monotonic
2022-11-23T02:50:23.632391image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
104351
 
4.6%
153728
 
3.9%
203180
 
3.3%
52426
 
2.5%
251886
 
2.0%
121226
 
1.3%
71101
 
1.2%
11730
 
0.8%
8663
 
0.7%
6662
 
0.7%
Other values (104)5747
 
6.0%
(Missing)69712
73.1%
ValueCountFrequency (%)
121
 
< 0.1%
1.52
 
< 0.1%
278
 
0.1%
2.55
 
< 0.1%
3358
0.4%
ValueCountFrequency (%)
3003
< 0.1%
2503
< 0.1%
2003
< 0.1%
1502
< 0.1%
1281
 
< 0.1%

RAMNT_13
Real number (ℝ≥0)

MISSING

Distinct77
Distinct (%)0.6%
Missing83162
Missing (%)87.2%
Infinite0
Infinite (%)0.0%
Mean13.48009959
Minimum0.1
Maximum500
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size745.5 KiB
2022-11-23T02:50:23.703942image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

Quantile statistics

Minimum0.1
5-th percentile4
Q17
median10
Q317
95-th percentile26
Maximum500
Range499.9
Interquartile range (IQR)10

Descriptive statistics

Standard deviation10.82858748
Coefficient of variation (CV)0.8033017413
Kurtosis369.2085858
Mean13.48009959
Median Absolute Deviation (MAD)5
Skewness10.86663637
Sum165131.22
Variance117.2583067
MonotonicityNot monotonic
2022-11-23T02:50:23.776795image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
102225
 
2.3%
51570
 
1.6%
151390
 
1.5%
201184
 
1.2%
25659
 
0.7%
6537
 
0.6%
7488
 
0.5%
11397
 
0.4%
16379
 
0.4%
8373
 
0.4%
Other values (67)3048
 
3.2%
(Missing)83162
87.2%
ValueCountFrequency (%)
0.11
 
< 0.1%
113
 
< 0.1%
1.921
 
< 0.1%
278
0.1%
2.55
 
< 0.1%
ValueCountFrequency (%)
5001
< 0.1%
2501
< 0.1%
1751
< 0.1%
1501
< 0.1%
137.871
< 0.1%

RAMNT_14
Real number (ℝ≥0)

MISSING

Distinct102
Distinct (%)0.4%
Missing72095
Missing (%)75.6%
Infinite0
Infinite (%)0.0%
Mean13.25232105
Minimum1
Maximum200
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size745.5 KiB
2022-11-23T02:50:23.850212image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile4
Q17
median10
Q316
95-th percentile25
Maximum200
Range199
Interquartile range (IQR)9

Descriptive statistics

Standard deviation9.453886122
Coefficient of variation (CV)0.7133758746
Kurtosis48.62856584
Mean13.25232105
Median Absolute Deviation (MAD)5
Skewness4.45057334
Sum309004.37
Variance89.37596281
MonotonicityNot monotonic
2022-11-23T02:50:23.922455image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
104510
 
4.7%
53453
 
3.6%
153035
 
3.2%
202525
 
2.6%
251509
 
1.6%
7900
 
0.9%
11890
 
0.9%
6760
 
0.8%
16610
 
0.6%
12598
 
0.6%
Other values (92)4527
 
4.7%
(Missing)72095
75.6%
ValueCountFrequency (%)
122
 
< 0.1%
1.51
 
< 0.1%
1.871
 
< 0.1%
2125
0.1%
2.57
 
< 0.1%
ValueCountFrequency (%)
2003
< 0.1%
1971
 
< 0.1%
1601
 
< 0.1%
1501
 
< 0.1%
1191
 
< 0.1%

RAMNT_15
Real number (ℝ≥0)

MISSING

Distinct76
Distinct (%)1.0%
Missing88150
Missing (%)92.4%
Infinite0
Infinite (%)0.0%
Mean13.34752134
Minimum1
Maximum300
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size745.5 KiB
2022-11-23T02:50:23.998569image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile5
Q17
median10
Q316
95-th percentile30
Maximum300
Range299
Interquartile range (IQR)9

Descriptive statistics

Standard deviation11.04351552
Coefficient of variation (CV)0.8273832447
Kurtosis112.4313521
Mean13.34752134
Median Absolute Deviation (MAD)5
Skewness6.704802762
Sum96929.7
Variance121.959235
MonotonicityNot monotonic
2022-11-23T02:50:24.146426image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
101174
 
1.2%
51058
 
1.1%
15603
 
0.6%
20553
 
0.6%
7417
 
0.4%
25364
 
0.4%
6304
 
0.3%
12282
 
0.3%
8281
 
0.3%
9265
 
0.3%
Other values (66)1961
 
2.1%
(Missing)88150
92.4%
ValueCountFrequency (%)
14
 
< 0.1%
238
 
< 0.1%
2.53
 
< 0.1%
3165
0.2%
3.51
 
< 0.1%
ValueCountFrequency (%)
3001
< 0.1%
2501
< 0.1%
1751
< 0.1%
1501
< 0.1%
1251
< 0.1%

RAMNT_16
Real number (ℝ≥0)

MISSING

Distinct109
Distinct (%)0.4%
Missing68418
Missing (%)71.7%
Infinite0
Infinite (%)0.0%
Mean14.03214196
Minimum0.5
Maximum500
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size745.5 KiB
2022-11-23T02:50:24.218014image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

Quantile statistics

Minimum0.5
5-th percentile5
Q18
median12
Q317
95-th percentile29
Maximum500
Range499.5
Interquartile range (IQR)9

Descriptive statistics

Standard deviation10.94845274
Coefficient of variation (CV)0.7802410188
Kurtosis275.6370295
Mean14.03214196
Median Absolute Deviation (MAD)4
Skewness10.01731749
Sum378783.64
Variance119.8686173
MonotonicityNot monotonic
2022-11-23T02:50:24.290827image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
104332
 
4.5%
153165
 
3.3%
52915
 
3.1%
202663
 
2.8%
121561
 
1.6%
71550
 
1.6%
251518
 
1.6%
11929
 
1.0%
8846
 
0.9%
6815
 
0.9%
Other values (99)6700
 
7.0%
(Missing)68418
71.7%
ValueCountFrequency (%)
0.51
 
< 0.1%
121
 
< 0.1%
1.171
 
< 0.1%
2131
0.1%
2.54
 
< 0.1%
ValueCountFrequency (%)
5001
 
< 0.1%
4001
 
< 0.1%
3002
 
< 0.1%
2341
 
< 0.1%
2005
< 0.1%

RAMNT_17
Real number (ℝ≥0)

MISSING

Distinct74
Distinct (%)0.8%
Missing86011
Missing (%)90.1%
Infinite0
Infinite (%)0.0%
Mean12.75458887
Minimum1
Maximum500
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size745.5 KiB
2022-11-23T02:50:24.362384image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile4
Q16
median10
Q315
95-th percentile25
Maximum500
Range499
Interquartile range (IQR)9

Descriptive statistics

Standard deviation10.97987856
Coefficient of variation (CV)0.8608571136
Kurtosis477.1248789
Mean12.75458887
Median Absolute Deviation (MAD)5
Skewness13.53919351
Sum119905.89
Variance120.5577333
MonotonicityNot monotonic
2022-11-23T02:50:24.434674image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
102118
 
2.2%
51555
 
1.6%
15958
 
1.0%
20831
 
0.9%
25499
 
0.5%
7377
 
0.4%
11348
 
0.4%
3315
 
0.3%
6285
 
0.3%
12281
 
0.3%
Other values (64)1834
 
1.9%
(Missing)86011
90.1%
ValueCountFrequency (%)
17
 
< 0.1%
259
 
0.1%
2.52
 
< 0.1%
3315
0.3%
4137
0.1%
ValueCountFrequency (%)
5001
< 0.1%
3001
< 0.1%
1501
< 0.1%
1451
< 0.1%
1301
< 0.1%

RAMNT_18
Real number (ℝ≥0)

MISSING
SKEWED

Distinct105
Distinct (%)0.5%
Missing75634
Missing (%)79.3%
Infinite0
Infinite (%)0.0%
Mean12.28326929
Minimum1
Maximum1000
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size745.5 KiB
2022-11-23T02:50:24.508312image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile4
Q16
median10
Q315
95-th percentile25
Maximum1000
Range999
Interquartile range (IQR)9

Descriptive statistics

Standard deviation11.78776166
Coefficient of variation (CV)0.9596599556
Kurtosis2534.790905
Mean12.28326929
Median Absolute Deviation (MAD)5
Skewness33.05906207
Sum242938.5
Variance138.951325
MonotonicityNot monotonic
2022-11-23T02:50:24.581008image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
104251
 
4.5%
53343
 
3.5%
151792
 
1.9%
201513
 
1.6%
7968
 
1.0%
25915
 
1.0%
12857
 
0.9%
3782
 
0.8%
11655
 
0.7%
8616
 
0.6%
Other values (95)4086
 
4.3%
(Missing)75634
79.3%
ValueCountFrequency (%)
115
 
< 0.1%
290
 
0.1%
2.52
 
< 0.1%
3782
0.8%
3.771
 
< 0.1%
ValueCountFrequency (%)
10001
 
< 0.1%
3001
 
< 0.1%
2251
 
< 0.1%
2003
< 0.1%
1701
 
< 0.1%

RAMNT_19
Real number (ℝ≥0)

MISSING
SKEWED

Distinct82
Distinct (%)0.5%
Missing79535
Missing (%)83.4%
Infinite0
Infinite (%)0.0%
Mean13.11601877
Minimum1
Maximum970
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size745.5 KiB
2022-11-23T02:50:24.655219image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile5
Q18
median10
Q315
95-th percentile25
Maximum970
Range969
Interquartile range (IQR)7

Descriptive statistics

Standard deviation12.84706281
Coefficient of variation (CV)0.9794940856
Kurtosis2095.561262
Mean13.11601877
Median Absolute Deviation (MAD)4
Skewness32.09841809
Sum208243.03
Variance165.0470229
MonotonicityNot monotonic
2022-11-23T02:50:24.727680image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
103052
 
3.2%
51852
 
1.9%
151566
 
1.6%
201247
 
1.3%
12997
 
1.0%
7954
 
1.0%
25739
 
0.8%
9561
 
0.6%
11515
 
0.5%
14513
 
0.5%
Other values (72)3881
 
4.1%
(Missing)79535
83.4%
ValueCountFrequency (%)
112
 
< 0.1%
256
 
0.1%
3473
 
0.5%
4110
 
0.1%
51852
1.9%
ValueCountFrequency (%)
9701
 
< 0.1%
5001
 
< 0.1%
2501
 
< 0.1%
2005
< 0.1%
1501
 
< 0.1%

RAMNT_20
Real number (ℝ≥0)

MISSING

Distinct69
Distinct (%)0.9%
Missing87524
Missing (%)91.7%
Infinite0
Infinite (%)0.0%
Mean14.26213235
Minimum0.5
Maximum250
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size745.5 KiB
2022-11-23T02:50:24.799766image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

Quantile statistics

Minimum0.5
5-th percentile5
Q19
median12
Q318
95-th percentile30
Maximum250
Range249.5
Interquartile range (IQR)9

Descriptive statistics

Standard deviation10.16145479
Coefficient of variation (CV)0.7124779481
Kurtosis75.3858425
Mean14.26213235
Median Absolute Deviation (MAD)4
Skewness5.410491562
Sum112499.7
Variance103.2551635
MonotonicityNot monotonic
2022-11-23T02:50:24.872054image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
101519
 
1.6%
15808
 
0.8%
20754
 
0.8%
5719
 
0.8%
12473
 
0.5%
25448
 
0.5%
7394
 
0.4%
11305
 
0.3%
9237
 
0.2%
13236
 
0.2%
Other values (59)1995
 
2.1%
(Missing)87524
91.7%
ValueCountFrequency (%)
0.51
 
< 0.1%
12
 
< 0.1%
222
 
< 0.1%
2.51
 
< 0.1%
3145
0.2%
ValueCountFrequency (%)
2501
 
< 0.1%
2251
 
< 0.1%
10021
< 0.1%
891
 
< 0.1%
851
 
< 0.1%

RAMNT_21
Real number (ℝ≥0)

MISSING

Distinct77
Distinct (%)0.8%
Missing85899
Missing (%)90.0%
Infinite0
Infinite (%)0.0%
Mean12.94205088
Minimum1
Maximum300
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size745.5 KiB
2022-11-23T02:50:24.943617image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile4
Q17
median10
Q315
95-th percentile25
Maximum300
Range299
Interquartile range (IQR)8

Descriptive statistics

Standard deviation10.69295891
Coefficient of variation (CV)0.8262182716
Kurtosis104.2805322
Mean12.94205088
Median Absolute Deviation (MAD)5
Skewness6.67849695
Sum123117.73
Variance114.3393702
MonotonicityNot monotonic
2022-11-23T02:50:25.013567image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
102123
 
2.2%
51521
 
1.6%
15900
 
0.9%
20801
 
0.8%
25509
 
0.5%
11429
 
0.4%
3360
 
0.4%
7342
 
0.4%
12325
 
0.3%
6266
 
0.3%
Other values (67)1937
 
2.0%
(Missing)85899
90.0%
ValueCountFrequency (%)
18
 
< 0.1%
1.551
 
< 0.1%
253
 
0.1%
3360
0.4%
4112
 
0.1%
ValueCountFrequency (%)
3001
< 0.1%
2031
< 0.1%
2002
< 0.1%
1502
< 0.1%
1251
< 0.1%

RAMNT_22
Real number (ℝ≥0)

MISSING

Distinct92
Distinct (%)0.4%
Missing74539
Missing (%)78.1%
Infinite0
Infinite (%)0.0%
Mean12.2662521
Minimum0.29
Maximum300
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size745.5 KiB
2022-11-23T02:50:25.087731image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

Quantile statistics

Minimum0.29
5-th percentile4
Q17
median10
Q315
95-th percentile25
Maximum300
Range299.71
Interquartile range (IQR)8

Descriptive statistics

Standard deviation9.179316506
Coefficient of variation (CV)0.7483391369
Kurtosis107.3800096
Mean12.2662521
Median Absolute Deviation (MAD)4
Skewness6.277947743
Sum256033.48
Variance84.25985152
MonotonicityNot monotonic
2022-11-23T02:50:25.155900image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
104384
 
4.6%
53116
 
3.3%
151854
 
1.9%
201512
 
1.6%
71117
 
1.2%
121091
 
1.1%
25910
 
1.0%
3777
 
0.8%
11773
 
0.8%
9718
 
0.8%
Other values (82)4621
 
4.8%
(Missing)74539
78.1%
ValueCountFrequency (%)
0.291
 
< 0.1%
118
 
< 0.1%
2112
 
0.1%
2.52
 
< 0.1%
3777
0.8%
ValueCountFrequency (%)
3001
 
< 0.1%
2501
 
< 0.1%
2002
< 0.1%
1501
 
< 0.1%
1254
< 0.1%

RAMNT_23
Real number (ℝ≥0)

MISSING

Distinct76
Distinct (%)1.0%
Missing87553
Missing (%)91.8%
Infinite0
Infinite (%)0.0%
Mean12.14994529
Minimum0.3
Maximum200
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size745.5 KiB
2022-11-23T02:50:25.309405image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

Quantile statistics

Minimum0.3
5-th percentile3
Q16
median10
Q315
95-th percentile25
Maximum200
Range199.7
Interquartile range (IQR)9

Descriptive statistics

Standard deviation9.342704606
Coefficient of variation (CV)0.7689503439
Kurtosis49.7231963
Mean12.14994529
Median Absolute Deviation (MAD)5
Skewness4.84421477
Sum95486.42
Variance87.28612936
MonotonicityNot monotonic
2022-11-23T02:50:25.381056image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
101621
 
1.7%
51028
 
1.1%
15685
 
0.7%
20565
 
0.6%
6359
 
0.4%
25349
 
0.4%
7344
 
0.4%
3328
 
0.3%
11324
 
0.3%
8297
 
0.3%
Other values (66)1959
 
2.1%
(Missing)87553
91.8%
ValueCountFrequency (%)
0.31
 
< 0.1%
110
 
< 0.1%
1.51
 
< 0.1%
290
0.1%
2.51
 
< 0.1%
ValueCountFrequency (%)
2001
 
< 0.1%
1252
 
< 0.1%
10021
< 0.1%
971
 
< 0.1%
851
 
< 0.1%

RAMNT_24
Real number (ℝ≥0)

MISSING

Distinct75
Distinct (%)0.4%
Missing77674
Missing (%)81.4%
Infinite0
Infinite (%)0.0%
Mean11.36489063
Minimum1
Maximum225
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size745.5 KiB
2022-11-23T02:50:25.457158image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile3
Q15
median10
Q315
95-th percentile25
Maximum225
Range224
Interquartile range (IQR)10

Descriptive statistics

Standard deviation8.70803199
Coefficient of variation (CV)0.766222243
Kurtosis82.35637155
Mean11.36489063
Median Absolute Deviation (MAD)5
Skewness5.883128922
Sum201590.43
Variance75.82982113
MonotonicityNot monotonic
2022-11-23T02:50:25.526059image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
103834
 
4.0%
53262
 
3.4%
151518
 
1.6%
201169
 
1.2%
7930
 
1.0%
11855
 
0.9%
3753
 
0.8%
6658
 
0.7%
25616
 
0.6%
9604
 
0.6%
Other values (65)3539
 
3.7%
(Missing)77674
81.4%
ValueCountFrequency (%)
110
 
< 0.1%
1.51
 
< 0.1%
2144
 
0.2%
3753
0.8%
4361
0.4%
ValueCountFrequency (%)
2251
< 0.1%
2002
< 0.1%
1821
< 0.1%
1581
< 0.1%
1501
< 0.1%

RAMNTALL
Real number (ℝ≥0)

Distinct2094
Distinct (%)2.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean104.4893511
Minimum13
Maximum9485
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size745.5 KiB
2022-11-23T02:50:25.597085image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

Quantile statistics

Minimum13
5-th percentile20
Q140
median78
Q3131
95-th percentile273
Maximum9485
Range9472
Interquartile range (IQR)91

Descriptive statistics

Standard deviation118.5803669
Coefficient of variation (CV)1.134855998
Kurtosis652.6194703
Mean104.4893511
Median Absolute Deviation (MAD)43
Skewness13.91247497
Sum9969537.97
Variance14061.30341
MonotonicityNot monotonic
2022-11-23T02:50:25.668582image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
204206
 
4.4%
253696
 
3.9%
153395
 
3.6%
302573
 
2.7%
401595
 
1.7%
501562
 
1.6%
351517
 
1.6%
451339
 
1.4%
551116
 
1.2%
60998
 
1.0%
Other values (2084)73415
76.9%
ValueCountFrequency (%)
131
 
< 0.1%
141
 
< 0.1%
153395
3.6%
15.51
 
< 0.1%
15.751
 
< 0.1%
ValueCountFrequency (%)
94851
< 0.1%
6346.571
< 0.1%
5674.91
< 0.1%
46001
< 0.1%
39861
< 0.1%

NGIFTALL
Real number (ℝ≥0)

Distinct89
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean9.602031191
Minimum1
Maximum237
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size745.5 KiB
2022-11-23T02:50:25.740485image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q13
median7
Q313
95-th percentile26
Maximum237
Range236
Interquartile range (IQR)10

Descriptive statistics

Standard deviation8.554341513
Coefficient of variation (CV)0.8908887446
Kurtosis11.48094056
Mean9.602031191
Median Absolute Deviation (MAD)5
Skewness2.0786619
Sum916149
Variance73.17675872
MonotonicityNot monotonic
2022-11-23T02:50:25.811850image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
110008
 
10.5%
27722
 
8.1%
37189
 
7.5%
47019
 
7.4%
56293
 
6.6%
65675
 
5.9%
75190
 
5.4%
84641
 
4.9%
94077
 
4.3%
103903
 
4.1%
Other values (79)33695
35.3%
ValueCountFrequency (%)
110008
10.5%
27722
8.1%
37189
7.5%
47019
7.4%
56293
6.6%
ValueCountFrequency (%)
2371
< 0.1%
1471
< 0.1%
1161
< 0.1%
951
< 0.1%
911
< 0.1%

CARDGIFT
Real number (ℝ≥0)

ZEROS

Distinct37
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean5.05824215
Minimum0
Maximum41
Zeros4968
Zeros (%)5.2%
Negative0
Negative (%)0.0%
Memory size745.5 KiB
2022-11-23T02:50:25.881319image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q12
median4
Q37
95-th percentile14
Maximum41
Range41
Interquartile range (IQR)5

Descriptive statistics

Standard deviation4.526650587
Coefficient of variation (CV)0.894905869
Kurtosis2.219971163
Mean5.05824215
Median Absolute Deviation (MAD)3
Skewness1.425945095
Sum482617
Variance20.49056554
MonotonicityNot monotonic
2022-11-23T02:50:25.941565image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram with fixed size bins (bins=37)
ValueCountFrequency (%)
117548
18.4%
213349
14.0%
310433
10.9%
48422
8.8%
56743
 
7.1%
66038
 
6.3%
75106
 
5.4%
04968
 
5.2%
84326
 
4.5%
93511
 
3.7%
Other values (27)14968
15.7%
ValueCountFrequency (%)
04968
 
5.2%
117548
18.4%
213349
14.0%
310433
10.9%
48422
8.8%
ValueCountFrequency (%)
411
< 0.1%
362
< 0.1%
341
< 0.1%
332
< 0.1%
322
< 0.1%

MINRAMNT
Real number (ℝ≥0)

SKEWED

Distinct191
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean7.933655725
Minimum0
Maximum1000
Zeros584
Zeros (%)0.6%
Negative0
Negative (%)0.0%
Memory size745.5 KiB
2022-11-23T02:50:26.009421image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile2
Q13
median5
Q310
95-th percentile23
Maximum1000
Range1000
Interquartile range (IQR)7

Descriptive statistics

Standard deviation8.784230587
Coefficient of variation (CV)1.107210962
Kurtosis2018.406088
Mean7.933655725
Median Absolute Deviation (MAD)2
Skewness23.84991926
Sum756965.96
Variance77.16270701
MonotonicityNot monotonic
2022-11-23T02:50:26.082640image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
534559
36.2%
317763
18.6%
1014679
15.4%
155735
 
6.0%
205537
 
5.8%
25182
 
5.4%
253451
 
3.6%
11556
 
1.6%
41337
 
1.4%
61313
 
1.4%
Other values (181)4300
 
4.5%
ValueCountFrequency (%)
0584
0.6%
0.0134
 
< 0.1%
0.029
 
< 0.1%
0.0315
 
< 0.1%
0.0422
 
< 0.1%
ValueCountFrequency (%)
10001
 
< 0.1%
5001
 
< 0.1%
4502
< 0.1%
3004
< 0.1%
201.671
 
< 0.1%

MINRDATE
Real number (ℝ≥0)

Distinct146
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean9252.650998
Minimum7506
Maximum9702
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size745.5 KiB
2022-11-23T02:50:26.157512image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

Quantile statistics

Minimum7506
5-th percentile8712
Q19101
median9309
Q39504
95-th percentile9602
Maximum9702
Range2196
Interquartile range (IQR)403

Descriptive statistics

Standard deviation267.5118384
Coefficient of variation (CV)0.02891191275
Kurtosis-0.7031636823
Mean9252.650998
Median Absolute Deviation (MAD)199
Skewness-0.5591038468
Sum882813937
Variance71562.58366
MonotonicityNot monotonic
2022-11-23T02:50:26.227740image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
96023041
 
3.2%
96013021
 
3.2%
95122359
 
2.5%
95092336
 
2.4%
95102325
 
2.4%
95062309
 
2.4%
94012177
 
2.3%
95012054
 
2.2%
93101944
 
2.0%
96031882
 
2.0%
Other values (136)71964
75.4%
ValueCountFrequency (%)
75061
< 0.1%
77121
< 0.1%
78082
< 0.1%
78111
< 0.1%
80121
< 0.1%
ValueCountFrequency (%)
9702215
0.2%
9701161
0.2%
9612109
0.1%
961192
0.1%
9610156
0.2%

MAXRAMNT
Real number (ℝ≥0)

SKEWED

Distinct275
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean19.99978975
Minimum5
Maximum5000
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size745.5 KiB
2022-11-23T02:50:26.299687image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

Quantile statistics

Minimum5
5-th percentile8
Q114
median17
Q323
95-th percentile40
Maximum5000
Range4995
Interquartile range (IQR)9

Descriptive statistics

Standard deviation25.06774564
Coefficient of variation (CV)1.253400458
Kurtosis17672.19731
Mean19.99978975
Median Absolute Deviation (MAD)4
Skewness99.78376176
Sum1908219.94
Variance628.3918714
MonotonicityNot monotonic
2022-11-23T02:50:26.459267image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1518414
19.3%
2018300
19.2%
2512270
12.9%
109405
9.9%
163808
 
4.0%
123677
 
3.9%
302912
 
3.1%
112708
 
2.8%
172315
 
2.4%
502211
 
2.3%
Other values (265)19392
20.3%
ValueCountFrequency (%)
51332
1.4%
5.251
 
< 0.1%
5.31
 
< 0.1%
5.61
 
< 0.1%
61121
1.2%
ValueCountFrequency (%)
50001
 
< 0.1%
26021
 
< 0.1%
10005
< 0.1%
6004
< 0.1%
5631
 
< 0.1%

MAXRDATE
Real number (ℝ≥0)

Distinct150
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean9441.860426
Minimum7510
Maximum9702
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size745.5 KiB
2022-11-23T02:50:26.535676image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

Quantile statistics

Minimum7510
5-th percentile9012
Q19409
median9506
Q39512
95-th percentile9602
Maximum9702
Range2192
Interquartile range (IQR)103

Descriptive statistics

Standard deviation172.8704714
Coefficient of variation (CV)0.01830894163
Kurtosis4.971185271
Mean9441.860426
Median Absolute Deviation (MAD)94
Skewness-2.099500638
Sum900866787
Variance29884.19988
MonotonicityNot monotonic
2022-11-23T02:50:26.607519image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
951210563
 
11.1%
96016812
 
7.1%
95096120
 
6.4%
96025875
 
6.2%
95045218
 
5.5%
95115175
 
5.4%
95104523
 
4.7%
95064394
 
4.6%
94124373
 
4.6%
96033372
 
3.5%
Other values (140)38987
40.9%
ValueCountFrequency (%)
75101
< 0.1%
79101
< 0.1%
82011
< 0.1%
83061
< 0.1%
83111
< 0.1%
ValueCountFrequency (%)
970266
0.1%
970181
0.1%
9612117
0.1%
961156
0.1%
961052
0.1%

LASTGIFT
Real number (ℝ≥0)

Distinct231
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean17.31312697
Minimum0
Maximum1000
Zeros390
Zeros (%)0.4%
Negative0
Negative (%)0.0%
Memory size745.5 KiB
2022-11-23T02:50:26.683896image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile5
Q110
median15
Q320
95-th percentile30
Maximum1000
Range1000
Interquartile range (IQR)10

Descriptive statistics

Standard deviation13.95663008
Coefficient of variation (CV)0.8061299443
Kurtosis728.4238882
Mean17.31312697
Median Absolute Deviation (MAD)5
Skewness16.28668036
Sum1651880.07
Variance194.7875231
MonotonicityNot monotonic
2022-11-23T02:50:26.760382image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1517776
18.6%
2015838
16.6%
1014256
14.9%
2510149
10.6%
54949
 
5.2%
123013
 
3.2%
162949
 
3.1%
172104
 
2.2%
62006
 
2.1%
301980
 
2.1%
Other values (221)20392
21.4%
ValueCountFrequency (%)
0390
0.4%
0.011
 
< 0.1%
141
 
< 0.1%
1.281
 
< 0.1%
1.52
 
< 0.1%
ValueCountFrequency (%)
10002
 
< 0.1%
5631
 
< 0.1%
5008
< 0.1%
4501
 
< 0.1%
4151
 
< 0.1%

LASTDATE
Real number (ℝ≥0)

Distinct24
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean9548.100365
Minimum9503
Maximum9702
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size745.5 KiB
2022-11-23T02:50:26.829894image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

Quantile statistics

Minimum9503
5-th percentile9504
Q19509
median9512
Q39602
95-th percentile9603
Maximum9702
Range199
Interquartile range (IQR)93

Descriptive statistics

Standard deviation49.23566433
Coefficient of variation (CV)0.005156592668
Kurtosis-0.6338449484
Mean9548.100365
Median Absolute Deviation (MAD)6
Skewness0.7204237415
Sum911003352
Variance2424.150642
MonotonicityNot monotonic
2022-11-23T02:50:26.895579image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram with fixed size bins (bins=24)
ValueCountFrequency (%)
951219896
20.9%
960111986
12.6%
960211118
11.7%
960310499
11.0%
95118236
8.6%
95096424
 
6.7%
95105405
 
5.7%
95064441
 
4.7%
95044404
 
4.6%
95072951
 
3.1%
Other values (14)10052
10.5%
ValueCountFrequency (%)
9503490
 
0.5%
95044404
4.6%
95052421
2.5%
95064441
4.7%
95072951
3.1%
ValueCountFrequency (%)
9702825
0.9%
9701748
0.8%
9612767
0.8%
9611434
0.5%
9610410
0.4%

FISTDATE
Real number (ℝ≥0)

Distinct177
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean9135.651648
Minimum0
Maximum9603
Zeros2
Zeros (%)< 0.1%
Negative0
Negative (%)0.0%
Memory size745.5 KiB
2022-11-23T02:50:26.969051image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile8610
Q18810
median9201
Q39409
95-th percentile9601
Maximum9603
Range9603
Interquartile range (IQR)599

Descriptive statistics

Standard deviation320.394019
Coefficient of variation (CV)0.03507073512
Kurtosis12.9627189
Mean9135.651648
Median Absolute Deviation (MAD)291
Skewness-0.7833996422
Sum871650795
Variance102652.3274
MonotonicityNot monotonic
2022-11-23T02:50:27.043037image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
95012957
 
3.1%
94012770
 
2.9%
93102646
 
2.8%
94102451
 
2.6%
96012406
 
2.5%
96022281
 
2.4%
86082219
 
2.3%
86122145
 
2.2%
95092127
 
2.2%
94092117
 
2.2%
Other values (167)71293
74.7%
ValueCountFrequency (%)
02
< 0.1%
49121
< 0.1%
72111
< 0.1%
74012
< 0.1%
74031
< 0.1%
ValueCountFrequency (%)
9603537
 
0.6%
96022281
2.4%
96012406
2.5%
9512455
 
0.5%
9511566
 
0.6%

NEXTDATE
Real number (ℝ≥0)

MISSING

Distinct188
Distinct (%)0.2%
Missing9973
Missing (%)10.5%
Infinite0
Infinite (%)0.0%
Mean9151.022917
Minimum7211
Maximum9702
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size745.5 KiB
2022-11-23T02:50:27.115536image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

Quantile statistics

Minimum7211
5-th percentile8703
Q18903
median9204
Q39409
95-th percentile9512
Maximum9702
Range2491
Interquartile range (IQR)506

Descriptive statistics

Standard deviation294.2572605
Coefficient of variation (CV)0.03215566862
Kurtosis-1.094961013
Mean9151.022917
Median Absolute Deviation (MAD)208
Skewness-0.2615450249
Sum781854247
Variance86587.33534
MonotonicityNot monotonic
2022-11-23T02:50:27.187072image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
95042253
 
2.4%
94121970
 
2.1%
87031959
 
2.1%
95121870
 
2.0%
86121688
 
1.8%
95061546
 
1.6%
94041458
 
1.5%
93121358
 
1.4%
92051356
 
1.4%
95111340
 
1.4%
Other values (178)68641
71.9%
(Missing)9973
 
10.5%
ValueCountFrequency (%)
72111
< 0.1%
74012
< 0.1%
74031
< 0.1%
74081
< 0.1%
77031
< 0.1%
ValueCountFrequency (%)
970217
< 0.1%
970114
< 0.1%
96127
 
< 0.1%
96119
< 0.1%
961019
< 0.1%

TIMELAG
Real number (ℝ≥0)

MISSING
SKEWED

Distinct68
Distinct (%)0.1%
Missing9973
Missing (%)10.5%
Infinite0
Infinite (%)0.0%
Mean8.093739393
Minimum0
Maximum1088
Zeros904
Zeros (%)0.9%
Negative0
Negative (%)0.0%
Memory size745.5 KiB
2022-11-23T02:50:27.260260image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile1
Q14
median6
Q311
95-th percentile21
Maximum1088
Range1088
Interquartile range (IQR)7

Descriptive statistics

Standard deviation8.213241766
Coefficient of variation (CV)1.014764791
Kurtosis6551.563272
Mean8.093739393
Median Absolute Deviation (MAD)3
Skewness52.6241642
Sum691521
Variance67.45734031
MonotonicityNot monotonic
2022-11-23T02:50:27.334154image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
58584
 
9.0%
48490
 
8.9%
38485
 
8.9%
66648
 
7.0%
26275
 
6.6%
75858
 
6.1%
85265
 
5.5%
94488
 
4.7%
13920
 
4.1%
103802
 
4.0%
Other values (58)23624
24.8%
(Missing)9973
10.5%
ValueCountFrequency (%)
0904
 
0.9%
13920
4.1%
26275
6.6%
38485
8.9%
48490
8.9%
ValueCountFrequency (%)
10881
< 0.1%
10441
< 0.1%
4421
< 0.1%
901
< 0.1%
891
< 0.1%

AVGGIFT
Real number (ℝ≥0)

SKEWED

Distinct7713
Distinct (%)8.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean13.34778598
Minimum1.285714286
Maximum1000
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size745.5 KiB
2022-11-23T02:50:27.409404image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

Quantile statistics

Minimum1.285714286
5-th percentile5
Q18.384615385
median11.63636364
Q315.47795455
95-th percentile25
Maximum1000
Range998.7142857
Interquartile range (IQR)7.093339161

Descriptive statistics

Standard deviation10.76999744
Coefficient of variation (CV)0.8068751969
Kurtosis1753.511873
Mean13.34778598
Median Absolute Deviation (MAD)3.386363636
Skewness26.0494288
Sum1273538.956
Variance115.9928449
MonotonicityNot monotonic
2022-11-23T02:50:27.483178image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
156020
 
6.3%
204566
 
4.8%
252659
 
2.8%
102227
 
2.3%
12.51800
 
1.9%
131368
 
1.4%
91147
 
1.2%
11989
 
1.0%
12888
 
0.9%
14884
 
0.9%
Other values (7703)72864
76.4%
ValueCountFrequency (%)
1.2857142861
< 0.1%
1.3636363641
< 0.1%
1.51
< 0.1%
1.5743243241
< 0.1%
1.61
< 0.1%
ValueCountFrequency (%)
10001
< 0.1%
948.51
< 0.1%
705.17444441
< 0.1%
506.51
< 0.1%
5002
< 0.1%

CONTROLN
Real number (ℝ≥0)

UNIQUE

Distinct95412
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean95778.17696
Minimum1
Maximum191779
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size745.5 KiB
2022-11-23T02:50:27.638683image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile9660.1
Q147910.75
median95681.5
Q3143643.5
95-th percentile182097.15
Maximum191779
Range191778
Interquartile range (IQR)95732.75

Descriptive statistics

Standard deviation55284.59609
Coefficient of variation (CV)0.5772149549
Kurtosis-1.198155851
Mean95778.17696
Median Absolute Deviation (MAD)47871
Skewness0.002343395326
Sum9138387420
Variance3056386565
MonotonicityNot monotonic
2022-11-23T02:50:27.713347image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
955151
 
< 0.1%
167131
 
< 0.1%
1420251
 
< 0.1%
12901
 
< 0.1%
1190281
 
< 0.1%
1874651
 
< 0.1%
985571
 
< 0.1%
560551
 
< 0.1%
626131
 
< 0.1%
1511431
 
< 0.1%
Other values (95402)95402
> 99.9%
ValueCountFrequency (%)
11
< 0.1%
21
< 0.1%
41
< 0.1%
51
< 0.1%
71
< 0.1%
ValueCountFrequency (%)
1917791
< 0.1%
1917781
< 0.1%
1917771
< 0.1%
1917751
< 0.1%
1917721
< 0.1%

TARGET_B
Real number (ℝ≥0)

ZEROS

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.0507588144
Minimum0
Maximum1
Zeros90569
Zeros (%)94.9%
Negative0
Negative (%)0.0%
Memory size745.5 KiB
2022-11-23T02:50:27.777933image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile1
Maximum1
Range1
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.2195059502
Coefficient of variation (CV)4.324489308
Kurtosis14.75532093
Mean0.0507588144
Median Absolute Deviation (MAD)0
Skewness4.093288608
Sum4843
Variance0.04818286216
MonotonicityNot monotonic
2022-11-23T02:50:27.822356image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
090569
94.9%
14843
 
5.1%
ValueCountFrequency (%)
090569
94.9%
14843
 
5.1%
ValueCountFrequency (%)
14843
 
5.1%
090569
94.9%

TARGET_D
Real number (ℝ≥0)

ZEROS

Distinct71
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.7930731983
Minimum0
Maximum200
Zeros90569
Zeros (%)94.9%
Negative0
Negative (%)0.0%
Memory size745.5 KiB
2022-11-23T02:50:27.883581image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile3
Maximum200
Range200
Interquartile range (IQR)0

Descriptive statistics

Standard deviation4.429725074
Coefficient of variation (CV)5.585518566
Kurtosis284.5890839
Mean0.7930731983
Median Absolute Deviation (MAD)0
Skewness11.73851156
Sum75668.7
Variance19.62246423
MonotonicityNot monotonic
2022-11-23T02:50:27.955173image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
090569
94.9%
10941
 
1.0%
15591
 
0.6%
20577
 
0.6%
5503
 
0.5%
25392
 
0.4%
12161
 
0.2%
7126
 
0.1%
6124
 
0.1%
11118
 
0.1%
Other values (61)1310
 
1.4%
ValueCountFrequency (%)
090569
94.9%
17
 
< 0.1%
221
 
< 0.1%
2.51
 
< 0.1%
386
 
0.1%
ValueCountFrequency (%)
2004
 
< 0.1%
1501
 
< 0.1%
1021
 
< 0.1%
1011
 
< 0.1%
10022
< 0.1%

HPHONE_D
Real number (ℝ≥0)

ZEROS

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.5006183709
Minimum0
Maximum1
Zeros47647
Zeros (%)49.9%
Negative0
Negative (%)0.0%
Memory size745.5 KiB
2022-11-23T02:50:28.015739image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median1
Q31
95-th percentile1
Maximum1
Range1
Interquartile range (IQR)1

Descriptive statistics

Standard deviation0.5000022379
Coefficient of variation (CV)0.9987692561
Kurtosis-2.000035806
Mean0.5006183709
Median Absolute Deviation (MAD)0
Skewness-0.002473524198
Sum47765
Variance0.2500022379
MonotonicityNot monotonic
2022-11-23T02:50:28.061212image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
147765
50.1%
047647
49.9%
ValueCountFrequency (%)
047647
49.9%
147765
50.1%
ValueCountFrequency (%)
147765
50.1%
047647
49.9%

RFA_2R
Categorical

CONSTANT
REJECTED

Distinct1
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size745.5 KiB
L
95412 

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowL
2nd rowL
3rd rowL
4th rowL
5th rowL

Common Values

ValueCountFrequency (%)
L95412
100.0%

Category Frequency Plot

2022-11-23T02:50:28.111872image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

RFA_2F
Real number (ℝ≥0)

Distinct4
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1.910053243
Minimum1
Maximum4
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size745.5 KiB
2022-11-23T02:50:28.148078image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median2
Q33
95-th percentile4
Maximum4
Range3
Interquartile range (IQR)2

Descriptive statistics

Standard deviation1.072749061
Coefficient of variation (CV)0.561633067
Kurtosis-0.7734117454
Mean1.910053243
Median Absolute Deviation (MAD)1
Skewness0.7855219133
Sum182242
Variance1.150790548
MonotonicityNot monotonic
2022-11-23T02:50:28.191617image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram with fixed size bins (bins=4)
ValueCountFrequency (%)
147675
50.0%
220545
21.5%
315291
 
16.0%
411901
 
12.5%
ValueCountFrequency (%)
147675
50.0%
220545
21.5%
315291
 
16.0%
411901
 
12.5%
ValueCountFrequency (%)
411901
 
12.5%
315291
 
16.0%
220545
21.5%
147675
50.0%

RFA_2A
Categorical

Distinct4
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size745.5 KiB
F
46964 
E
21639 
G
19397 
D
7412 

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowE
2nd rowG
3rd rowE
4th rowE
5th rowF

Common Values

ValueCountFrequency (%)
F46964
49.2%
E21639
22.7%
G19397
20.3%
D7412
 
7.8%

Category Frequency Plot

2022-11-23T02:50:28.249167image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

MDMAUD_R
Categorical

Distinct5
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size745.5 KiB
X
95118 
C
 
109
L
 
70
D
 
65
I
 
50

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowX
2nd rowX
3rd rowX
4th rowX
5th rowX

Common Values

ValueCountFrequency (%)
X95118
99.7%
C109
 
0.1%
L70
 
0.1%
D65
 
0.1%
I50
 
0.1%

Category Frequency Plot

2022-11-23T02:50:28.302604image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

MDMAUD_F
Categorical

Distinct4
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size745.5 KiB
X
95118 
1
 
187
2
 
87
5
 
20

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowX
2nd rowX
3rd rowX
4th rowX
5th rowX

Common Values

ValueCountFrequency (%)
X95118
99.7%
1187
 
0.2%
287
 
0.1%
520
 
< 0.1%

Category Frequency Plot

2022-11-23T02:50:28.353475image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

MDMAUD_A
Categorical

Distinct5
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size745.5 KiB
X
95118 
C
 
249
L
 
23
M
 
17
T
 
5

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowX
2nd rowX
3rd rowX
4th rowX
5th rowX

Common Values

ValueCountFrequency (%)
X95118
99.7%
C249
 
0.3%
L23
 
< 0.1%
M17
 
< 0.1%
T5
 
< 0.1%

Category Frequency Plot

2022-11-23T02:50:28.403895image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

CLUSTER2
Real number (ℝ≥0)

Distinct62
Distinct (%)0.1%
Missing132
Missing (%)0.1%
Infinite0
Infinite (%)0.0%
Mean31.53371117
Minimum1
Maximum62
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size745.5 KiB
2022-11-23T02:50:28.461585image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile4
Q115
median32
Q349
95-th percentile60
Maximum62
Range61
Interquartile range (IQR)34

Descriptive statistics

Standard deviation18.76461363
Coefficient of variation (CV)0.5950651836
Kurtosis-1.3279001
Mean31.53371117
Median Absolute Deviation (MAD)17
Skewness0.04185373534
Sum3004532
Variance352.1107245
MonotonicityNot monotonic
2022-11-23T02:50:28.531421image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
133466
 
3.6%
53154
 
3.3%
572666
 
2.8%
592653
 
2.8%
152559
 
2.7%
382147
 
2.3%
552117
 
2.2%
22111
 
2.2%
582043
 
2.1%
122038
 
2.1%
Other values (52)70326
73.7%
ValueCountFrequency (%)
11240
 
1.3%
22111
2.2%
31335
1.4%
41900
2.0%
53154
3.3%
ValueCountFrequency (%)
621512
1.6%
611493
1.6%
601833
1.9%
592653
2.8%
582043
2.1%

GEOCODE2
Categorical

Distinct4
Distinct (%)< 0.1%
Missing319
Missing (%)0.3%
Memory size745.5 KiB
A
34484 
B
28505 
D
16580 
C
15524 

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowC
2nd rowA
3rd rowC
4th rowC
5th rowA

Common Values

ValueCountFrequency (%)
A34484
36.1%
B28505
29.9%
D16580
17.4%
C15524
16.3%
(Missing)319
 
0.3%

Category Frequency Plot

2022-11-23T02:50:28.599858image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/